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Paper Citation Record · LEDGER

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.02504.

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pith.paper-citation-record.v1
1908.02504 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:49:11.667189Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy37
  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d4855b5-2b1c-4fa3-8ec3-bea5afb317ef · outbound

This paper cites Eskandarian, Handbook of Intelligent Vehicles.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Eskandarian, Handbook of Intelligent Vehicles

Reference 1

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Observation 44f72dac-be81-4353-ab4a-e67f607ebc31 · outbound

This paper cites an unresolved cited work.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Unresolved cited work

Reference 2

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Observation 28f70dff-9c49-46c1-be1e-43e9b4d5b12e · outbound

This paper cites Radar system with improved angle formation,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Radar system with improved angle formation,

Reference 3

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Observation 4d96fa15-7168-4936-a234-5be12b0a6340 · outbound

This paper cites Advances in automotive radar: A framework on computa- tionally efficient high-resolution frequency estimation,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Advances in automotive radar: A framework on computa- tionally efficient high-resolution frequency estimation,

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f0cdd566-bee2-4663-939a-615cec93338a · outbound

This paper cites Target shape estimation using an automotive radar,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Target shape estimation using an automotive radar,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9098a5d4-a60c-4474-8274-28aa36663899 · outbound

This paper cites Integration of multiple automotive radar modules based on fiber-wireless network,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Integration of multiple automotive radar modules based on fiber-wireless network,

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55f6b017-fd5c-4115-8ca9-269d893b0580 · outbound

This paper cites Next generation short range radar (SRR) for automotive applications,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Next generation short range radar (SRR) for automotive applications,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cc8a7e09-7e61-4af5-8e3f-7e4b5c901437 · outbound

This paper cites Relative entropy and the multivariable multidimen- sional moment problem,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Relative entropy and the multivariable multidimen- sional moment problem,

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2135fd50-0c07-46a7-b4f6-0490fe6e5443 · outbound

This paper cites Multidimensional MEM spectral estima- tion,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Multidimensional MEM spectral estima- tion,

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b9f4eb3f-44b2-4b63-a79f-354bcd157af2 · outbound

This paper cites Solution of the general moment problem via a one- parameter imbedding,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Solution of the general moment problem via a one- parameter imbedding,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 96773f1c-f3f6-4c8d-aeee-9970c0af2354 · outbound

This paper cites Multidimensional rational covariance extension with applications to spectral estimation and image compression,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Multidimensional rational covariance extension with applications to spectral estimation and image compression,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ef52cb4e-0338-49fa-b57e-9b05b553b78b · outbound

This paper cites Multidimensional rational covariance extension with approxi- mate covariance matching,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Multidimensional rational covariance extension with approxi- mate covariance matching,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2e859ae5-bbb7-4b41-8465-42cefec3563e · outbound

This paper cites On the geometry of maximum entropy problems,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach On the geometry of maximum entropy problems,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 93d6189f-97a5-48bc-a37f-3fa2bf607e3b · outbound

This paper cites An interpretation of the dual problem of the THREE-like approaches,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach An interpretation of the dual problem of the THREE-like approaches,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2626536a-e095-41de-b6c8-f73c8d90b82e · outbound

This paper cites Spectral moment problems: Generalizations, implemen- tation and tuning,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Spectral moment problems: Generalizations, implemen- tation and tuning,

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e7af6beb-29eb-4ac1-885e-cdc875d6a004 · outbound

This paper cites Matrix-valued Nevanlinna–Pick interpolation with complexity constraint: An opti- mization approach,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Matrix-valued Nevanlinna–Pick interpolation with complexity constraint: An opti- mization approach,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6cd0b60b-9766-4048-82b5-b97b15fa7eee · outbound

This paper cites A globally convergent matricial algorithm for multivariate spectral estimation,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach A globally convergent matricial algorithm for multivariate spectral estimation,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a11abd78-0dbf-4a67-8e2b-6d8aadfcbe32 · outbound

This paper cites On the well-posedness of multivariate spectrum approxima- tion and convergence of high-resolution spectral estimators,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach On the well-posedness of multivariate spectrum approxima- tion and convergence of high-resolution spectral estimators,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d4ba1d3-20b9-4c94-8820-8027304321c7 · outbound

This paper cites Hellinger versus Kullback– Leibler multivariable spectrum approximation,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Hellinger versus Kullback– Leibler multivariable spectrum approximation,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5190e68d-99da-4395-b679-ac4dbe86e9f3 · outbound

This paper cites Time and spectral domain relative entropy: A new approach to multivariate spectral estimation,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Time and spectral domain relative entropy: A new approach to multivariate spectral estimation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.896031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6475120a-0cfd-4f13-9c26-6eec6cf1281a · outbound

This paper cites A new family of high-resolution multivariate spectral estimators,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach A new family of high-resolution multivariate spectral estimators,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a1f061d3-0a3d-42bb-82f8-86c046616111 · outbound

This paper cites Multivariate spectral estimation based on the concept of optimal prediction,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Multivariate spectral estimation based on the concept of optimal prediction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.877132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cbe764ff-2561-4a06-8bdd-7d86073e5bf8 · outbound

This paper cites Likelihood analysis of power spectra and generalized moment problems,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Likelihood analysis of power spectra and generalized moment problems,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.867185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4aa9ee79-9e3e-4002-a350-68336481ad78 · outbound

This paper cites On the existence of a solution to a spectral estimation problem `a la Byrnes-Georgiou-Lindquist,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach On the existence of a solution to a spectral estimation problem `a la Byrnes-Georgiou-Lindquist,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.857400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f97c7e74-584f-4a8c-b808-f5f0d481855f · outbound

This paper cites Spectral analysis based on the state covariance: the maximum entropy spectrum and linear fractional parametrization,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Spectral analysis based on the state covariance: the maximum entropy spectrum and linear fractional parametrization,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.847295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 17424d97-a7ff-4f3d-a5da-78bdcf79dfd3 · outbound

This paper cites A maximum entropy solution of the covariance extension problem for reciprocal processes,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach A maximum entropy solution of the covariance extension problem for reciprocal processes,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.837317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1bbe3b4a-2dcc-47c5-97e3-2a73a703490e · outbound

This paper cites On the Well-Posedness of a Parametric Spectral Estimation Problem and Its Numerical Solution.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach On the Well-Posedness of a Parametric Spectral Estimation Problem and Its Numerical Solution

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 91f7868b-0d51-4523-84da-c8fa0f5ea487 · outbound

This paper cites On the uniqueness result of Theorem 6 in “Relative Entropy and the Multivariable Multidimensional Moment Problem.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach On the uniqueness result of Theorem 6 in “Relative Entropy and the Multivariable Multidimensional Moment Problem

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.829175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6cec8a9-c4d2-4286-bfc4-9b5e290b25cf · outbound

This paper cites Stoica and R.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Stoica and R

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.820467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9f306db0-964b-4a45-84b4-3a9fd9d29bdf · outbound

This paper cites Continuous waveforms for automotive radar systems,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Continuous waveforms for automotive radar systems,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.811712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:11.636831Z digest=sha256:e5f1f65ed5417407011df80f61656a68f29c361a295a12f86f5aca8bfa040144

Observation e132a188-0209-4cd8-97a5-8ddc973f9a66 · outbound

This paper cites From sparse solutions of systems of equations to sparse modeling of signals and images,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach From sparse solutions of systems of equations to sparse modeling of signals and images,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.802607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:11.640141Z digest=sha256:d0d4325332fad6d06e62cb1313e26de5ff16f15374b42f4de6c61b2e0d657158

Observation 1daa9f0a-037a-49fc-80dd-96476c468113 · outbound

This paper cites Efficient mixed-spectrum estimation with applica- tions to target feature extraction,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Efficient mixed-spectrum estimation with applica- tions to target feature extraction,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.793281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1007a1e7-2c38-42c3-9877-cc95f421e731 · outbound

This paper cites an unresolved cited work.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-14T14:49:11.782908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d7800d96-f4b9-4ecf-a5d5-95bf6897c445 · outbound

This paper cites M 2-spectral estima- tion: A relative entropy approach,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach M 2-spectral estima- tion: A relative entropy approach,

Reference 34

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Observation 98ecf85d-3e37-44c4-a31c-63e4a3df5758 · outbound

This paper cites Spectral estimation via selective harmonic amplifica- tion,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Spectral estimation via selective harmonic amplifica- tion,

Reference 35

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raw_fallback, observed 2026-08-14T14:49:11.764453Z

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Observation f9455e2d-776d-44dd-9e33-b3423db8479a · outbound

This paper cites MIMO radar with colocated antennas,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach MIMO radar with colocated antennas,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.753041Z

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Observation 02ccd186-e2c1-4cf1-b9be-2b3b1075c950 · outbound

This paper cites A new approach to spectral estimation: A tunable high-resolution spectral estimator,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach A new approach to spectral estimation: A tunable high-resolution spectral estimator,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.742951Z

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Observation 1dde2702-fa0c-4fe7-9b7b-ddfe075d5f64 · outbound

This paper cites AR identification of latent-variable graphical models,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach AR identification of latent-variable graphical models,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.732749Z

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Observation cadea5b6-29d1-4540-8d0f-20b568e7be83 · outbound

This paper cites Kullback-leibler approximation of spectral density functions,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Kullback-leibler approximation of spectral density functions,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.719795Z

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Observation 05f4d075-7da9-4043-94d1-e0bb146ea627 · outbound

This paper cites Identifiability and well- posedness of shaping filter parametrizations: A global analysis ap- proach,.

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach Identifiability and well- posedness of shaping filter parametrizations: A global analysis ap- proach,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:11.709929Z

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Pith citing papers

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