IMPROVED CRB FOR MILLIMETER-WAVE RADAR WITH 1-BIT ADCS

Improved CRB for Millimeter-Wave Radar With 1-Bit ADCs

Improved CRB for Millimeter-Wave Radar With 1-Bit ADCs

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Millimeter-wave is widely used for consumer radar applications like driver assistance systems in automated vehicles and gesture recognition in touch-free interfaces.To cope with the increased hardware complexity, higher costs and power consumption of wideband systems at millimeter-wave frequencies, we propose a fully digital architecture with low-resolution analog-to-digital converters (ADCs) on each radio-frequency chain.The effect underwater treasures sunken medallion of the low-resolution ADCs on radar parameter estimation is characterized by the Cramér-Rao bound (CRB) under the proposed hardware constraints.Prior work has shown that at low signal-to-noise ratio, a radar system with 1-bit ADCs suffers a performance loss of 2 dB in parameter estimation compared to a system with ideal infinite resolution ADCs.

In this paper, we design an analog preprocessing unit that beamforms in a particular direction and improves the system performance in terms of socksmith santa cruz the achievable CRB.We optimize the proposed preprocessing architecture and show that the optimized network is realizable through low-cost low-resolution phase-shifters.With the optimized preprocessor network in the system, we reduce the gap to 1.16 dB compared to a system with ideal ADCs.

We demonstrate the potential of the proposed architecture to meet the requirements of high-resolution sensing through analytical derivation and numerical computation of an improved CRB and show its achievability through a correlation-based estimator.

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