Abstract
One-bit radar, adopting one-bit analog-to-digital converters to perform signal sampling and quantization, is a promising technology for low-cost and resource-limited applications. In this paper, effects of one-bit quantization on the linear signal processing for the one-bit linear frequency modulated pulse radar are studied and a target reconstruction approach is proposed. Firstly, characteristics of 3-order harmonics of the one-bit signal are analyzed. It is indicated that when conventional linear signal processing methods are carried out, 3-order harmonics may not only raise the detection background but also result in false alarms. Secondly, a two-stage approach jointly performing the linear and nonlinear signal processing is proposed to suppress harmonics and recover true targets. Specifically, in the first stage, the linear signal processing is carried out to suppress unmatched harmonics and dimension reduction. In the second stage, based on a dimension-reduced signal observation model, generalized approximate message passing is utilized to suppress matched harmonics and recover true targets. The effectiveness of the proposed approach is demonstrated by numerical results.
Highlights
For many low-cost and resource-limited applications such as automotive radars [1] and Google s hand gesture recognition radars [2], one-bit radar is a promising technology since it applies one-bit analog-to-digital converter (ADC) to perform signal sampling and binary quantization
The received signal model before one-bit quantization in each of the three domains is established as a sum of sinusoidals, and after one-bit ADC, it is shown that higher-order harmonics are all discrete frequencies and can lead to target-like false alarms (FAs)
Harmonics caused by one-bit quantization are firstly analyzed and their effects on linear processing methods are discussed
Summary
For many low-cost and resource-limited applications such as automotive radars [1] and Google s hand gesture recognition radars [2], one-bit radar is a promising technology since it applies one-bit analog-to-digital converter (ADC) to perform signal sampling and binary quantization. It is indicated that for low received signal-to-noise ratio (SNR) scenarios, high-order harmonics caused by the one-bit ADC can be omitted and conventional linear processing methods, e.g., matched filter, can be implemented for SAR imaging. The received signal model before one-bit quantization in each of the three domains is established as a sum of sinusoidals, and after one-bit ADC, it is shown that higher-order harmonics are all discrete frequencies and can lead to target-like FAs. To perform target detection, a novel dimension-reduced generalized approximate message passing (DR-GAMP) method is proposed. Unlike the onebit LFMCW radar in [19] where we merely need to suppress high-order harmonics in the nonlinear processing stage, for the one-bit LFM pulse radar, unmatched harmonics should be firstly suppressed before predetection. In the nonlinear stage, applying the DR-GAMP method in [19], matched high-order harmonics are suppressed and true targets are reconstructed.
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