Article (Scientific journals)
One-bit ADCs/DACs based MIMO radar: Performance analysis and joint design
Deng, Minglong; Cheng, Ziyang; Wu, Linlong et al.
2022In IEEE Transactions on Signal Processing, 70, p. 2609--2624
Peer reviewed
 

Files


Full Text
One-Bit_ADCs_DACs_Based_MIMO_Radar_Performance_Analysis_and_Joint_Design.pdf
Publisher postprint (1.79 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] Extremely low-resolution (e.g. one-bit) analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) can substantially reduce hardware cost and power consumption for MIMO radar especially with large scale antennas. In this paper, we focus on the detection performance analysis and joint design for the MIMO radar with one-bit ADCs and DACs. Specifically, under the assumption of low signal-to-noise ratio (SNR) and interference-to-noise ratio (INR), we derive the expressions of probability of detection ( Pd ) and probability of false alarm ( Pf ) for one-bit MIMO radar and also the theoretical performance gap to infinite-bit MIMO radars for the noise-only case. We further find that for a fixed Pf , Pd depends on the defined quantized signal-to-interference-plus-noise ratio (QSINR), which is a function of the transmit waveform and receive filter. Thus, an optimization problem arises naturally to maximize the QSINR by joint designing the waveform and filter. For the formulated problem, we propose an alternating waveform and filter design for QSINR maximization (GREET). At each iteration of GREET, the optimal receive filter is updated via the minimum variance distortionless response (MVDR) method, and due to the difficulty in global optimality, an alternating direction method of multipliers (ADMM) based algorithm is devised to efficiently find a high-quality suboptimal one-bit waveform. Numerical simulations are consistent to the theoretical performance analysis and demonstrate the effectiveness of the proposed design algorithm.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Deng, Minglong
Cheng, Ziyang
Wu, Linlong  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Shankar, Bhavani
He, Zishu
External co-authors :
yes
Language :
English
Title :
One-bit ADCs/DACs based MIMO radar: Performance analysis and joint design
Publication date :
2022
Journal title :
IEEE Transactions on Signal Processing
Publisher :
IEEE
Volume :
70
Pages :
2609--2624
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR Project :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 11 January 2023

Statistics


Number of views
33 (1 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
9
Scopus citations®
without self-citations
5
WoS citations
 
5

Bibliography


Similar publications



Contact ORBilu