Joint Design of Transmit Waveform and Receive Filter for MIMO Radar with One-Bit DACs/ADCs
release_2olfvsdj2fcg7al5dbr4dwdgxe
by
Minglong Deng, Ziyang Cheng, Zishu He
2021
Abstract
Adopting extremely low-resolution (e.g. one-bit) analog-to-digital converters
(ADCs) and digital-to-analog converters (DACs) is able to bring a remarkable
saving of low-cost and circuit power for multiple-input multiple-output (MIMO)
radar.In this paper, the problem of joint design of transmit waveform and
receive filter for collocated MIMO radar with a architecture of one-bit ADCs
and DACs is investigated. Under this architecture, we derive the output
quantized signal-to-interference-plus-noise ratio (QSINR), which is relative to
the detection performance of target, in the presence of signal-dependent
interference. The optimization problem is formulated by maximizing the QSINR
with a binary waveform constraint. Due to the nonconvex objective and binary
constraint, the resulting problem is hard to be directly solved. To this end,
we propose an alternating minimization algorithm. More concretely, at each
iteration, the closed-form solution of the receive filter is attained by
exploiting the minimum variance distortionless response (MVDR) method, and then
the one-bit waveform is optimized with the aid of the alternating direction
method of multipliers (ADMM) algorithm. In addition, the performance gap
between the one-bit MIMO radar and infinite-bit MIMO radar is theoretically
analyzed under the noise-only case. Several numerical simulations are provided
to demonstrate the effectiveness of the proposed methods.
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