  We consider the problem of range-Doppler imaging using one-bit automotive
LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying
thresholds at the receiver. The one-bit sampling technique can significantly
reduce the cost as well as the power consumption of automotive radar systems.
We formulate the one-bit LFMCW/PMCW radar rangeDoppler imaging problem as
one-bit sparse parameter estimation. The recently proposed hyperparameter-free
(and hence user friendly) weighted SPICE algorithms, including SPICE, LIKES,
SLIM and IAA, achieve excellent parameter estimation performance for data
sampled with high precision. However, these algorithms cannot be used directly
for one-bit data. In this paper we first present a regularized minimization
algorithm, referred to as 1bSLIM, for accurate range-Doppler imaging using
onebit radar systems. Then, we describe how to extend the SPICE, LIKES and IAA
algorithms to the one-bit data case, and refer to these extensions as 1bSPICE,
1bLIKES and 1bIAA. These onebit hyperparameter-free algorithms are unified
within the one-bit weighted SPICE framework. Moreover, efficient
implementations of the aforementioned algorithms are investigated that rely
heavily on the use of FFTs. Finally, both simulated and experimental examples
are provided to demonstrate the effectiveness of the proposed algorithms for
range-Doppler imaging using one-bit automotive radar systems.
