Simultaneous Optimization of Mismatched Filters and Controlled Amplitude Signals for Long-Range MIMO Radars

被引:3
|
作者
Bezousek, Pavel [1 ]
Karamazov, Simeon [1 ]
机构
[1] Univ Pardubice, Fac Elect Engn & Informat, Pardubice 53210, Czech Republic
关键词
Optimization; Filtering algorithms; Crosstalk; Radar; Matched filters; MIMO radar; Signal to noise ratio; Iterative methods; Quadratic programming; Noise measurement; Doppler effect; iterative optimization; gradient algorithm; peak to average power ratio; quadratic programming; separation filter; side lobe; signal envelope; signal to noise ratio;
D O I
10.1109/ACCESS.2022.3213661
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study presents a new signal and filter design procedure for long-range multiple-input multiple-output (MIMO) radars with a pulse length shorter than the return time of signals reflected by the most distant targets. The proposed algorithm adopts and radically improves the method of alternating the optimization of filters and signals, which was recently published by the same authors. It introduces full control of the signal envelope variation during the pulse, preserving acceptable peak-to-average power ratio (PAR) and signal-to-noise ratio (SNR) loss values. This state-of-the-art method allows calculation simplicity and is important for high-speed computations in adaptive applications. A gradient algorithm was used for the signal amplitude and phase optimization. The signal amplitude was controlled using a special signal construction consisting of two complex exponentials.
引用
收藏
页码:108251 / 108260
页数:10
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