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Efficient binary sequence set designs for MIMO PMCW radar

delete2023-12-01
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PRE
AI
Y
Yutao Chen
Y
Yuanbo Cheng
R
Ronghao Lin *
李建 封面图
李建 (Jian Li)
H
Hing Cheung So
DOI:10.1016/j.sigpro.2023.109204delete
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摘要

摘要

En 中文
Multiple-input multiple-output (MIMO) phase-modulated continuous wave (PMCW) radar systems have ma-jor advantages for mutual-interference mitigation over their linear frequency-modulated continuous wave (LFMCW) counterparts. To attain a virtual array length of M x M with M transmit and M receive antennas, a probing sequence set with both low auto-correlation sidelobes and low cross-correlations is needed for MIMO PMCW radar. To reduce the hardware cost of sequence generation, bina r y probing sequence (BPS) sets are desirable. We present herein fou r efficient computational algorithms to generate BPS sets with desirable properties, and arbitrary sequence lengths and arbitra r y number of sequences in the set are allowed. When initialized by random BPS sets, they can be used to obtain many different BPS sets with similar properties, i.e., with large diversity. Moreover, fast Fourier transform (FFT) are exploited, making the algorithms computationally efficient. They can be used to design long BPS sets that are hardly possible using existing methods in the literature. The convergence properties and the relationships among the proposed algorithms are also analyzed under a unified framework. Numerical examples are included to illustrate the effectiveness of our designs.
Keyword:
Binary probing sequence (BPS) sets
Correlation property
Fast Fourier transform (FFT )
Integrated sidelobe level (ISL)
Low correlation zone (LCZ)
Multiple-input multiple-output (MIMO) radar
Phase-modulated continuous wave (PMCW)
radar
Wavefo r m design

期刊

Signal Processing 封面图
Signal Processing
IF:
3.6
论文数:
10.0K
被引数:
1.7W

机构

State University System of Florida 封面图
State University System of Florida
学者数:
12.8W
论文数: 10.9W
被引数: 130
U
university of science & technology of china, cas
学者数:
3.2W
论文数: 2.7W
被引数: 74
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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