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arxiv: 2307.01760 · v1 · pith:OTRQD3OTnew · submitted 2023-07-04 · 💻 cs.IT · eess.SP· math.IT

Integrated Sensing and Communication with MOCZ Waveform

classification 💻 cs.IT eess.SPmath.IT
keywords sensingcommunicationmoczdatawaveformapplicationsframeintegrated
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In this work, we propose a waveform based on Modulation on Conjugate-reciprocal Zeros (MOCZ) originally proposed for short-packet communications in [1], as a new Integrated Sensing and Communication (ISAC) waveform. Having previously established the key advantages of MOCZ for noncoherent and sporadic communication, here we leverage the optimal auto-correlation property of Binary MOCZ (BMOCZ) for sensing applications. Due to this property, which eliminates the need for separate communication and radar-centric waveforms, we propose a new frame structure for ISAC, where pilot sequences and preambles become obsolete and are completely removed from the frame. As a result, the data rate can be significantly improved. Aimed at (hardware-) cost-effective radar-sensing applications, we consider a Hybrid Digital-Analog (HDA) beamforming architecture for data transmission and radar sensing. We demonstrate via extensive simulations, that a communication data rate, significantly higher than existing standards can be achieved, while simultaneously achieving sensing performance comparable to state-of-the-art sensing systems.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Jutted BMOCZ for Non-Coherent OFDM

    eess.SP 2026-03 unverdicted novelty 6.0

    Jutted BMOCZ introduces controlled asymmetry via jutted zeros to resolve rotation ambiguity in BMOCZ, supporting a hybrid pilot-free OFDM waveform with blind detection and fixed PAPR.