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Multiple Parameter Estimation With Quantized Channel Output

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arxiv 1010.5532 v1 pith:PBCN2LNO submitted 2010-10-26 cs.IT math.IT

Multiple Parameter Estimation With Quantized Channel Output

classification cs.IT math.IT
keywords estimationchannelgeneraloptimalparameterproblemquantizationquantized
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a general problem formulation for optimal parameter estimation based on quantized observations, with application to antenna array communication and processing (channel estimation, time-of-arrival (TOA) and direction-of-arrival (DOA) estimation). The work is of interest in the case when low resolution A/D-converters (ADCs) have to be used to enable higher sampling rate and to simplify the hardware. An Expectation-Maximization (EM) based algorithm is proposed for solving this problem in a general setting. Besides, we derive the Cramer-Rao Bound (CRB) and discuss the effects of quantization and the optimal choice of the ADC characteristic. Numerical and analytical analysis reveals that reliable estimation may still be possible even when the quantization is very coarse.

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