scholarly journals Joint Optimization of Transmit Waveform and Receive Filter with Pulse-to-Pulse Waveform Variations for MIMO GMTI

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5575
Author(s):  
Zhoudan Lv ◽  
Feng He ◽  
Zaoyu Sun ◽  
Zhen Dong

Multi-input multi-output (MIMO) is usually defined as a radar system in which the transmit time and receive time, space and transform domain can be separated into multiple independent signals. Given the bandwidth and power constraints of the radar system, MIMO radar can improve its performance by optimize design transmit waveforms and receive filters, so as to achieve better performance in suppressing clutter and noise. In this paper, we cyclicly optimize the transmit waveform and receive filters, so as to maximize the output signal interference and noise ratio (SINR). From fixed pulse-to-pulse waveform to pulse-to-pulse waveform variations, we discuss the joint optimization under energy constraint, then extend it to optimizations under constant-envelope constraint and similarity constraint. Compared to optimization with fixed pulse-to-pulse waveform, the generalized optimization achieves higher output SINR and lower minimum detectable velocity (MDV), further improve the suppressing performance.

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3887
Author(s):  
Liang Huang ◽  
Xiaofang Deng ◽  
Lin Zheng ◽  
Huiping Qin ◽  
Hongbing Qiu

In this paper, we aim at the problem that MIMO radar’s target detection performance is greatly reduced in the complex multi-signal-dependent interferences environment. We propose a joint design method based on semidefinite relaxation (SDR), fractional programming and randomization technique (JD-SFR) and a joint design method based on coordinate descent (JD-CD) to solve the actual transmit waveform and receive filter bank directly to reduce the loss of strong interference to the output signal-to-interference-plus-noise ratio (SINR) of the radar system. Therefore, the maximization of output SINR is taken as the criterion of the optimization problem. The designed waveforms take into account the radar transmitter’s hardware requirements for constant envelope waveforms and impose similarity constraints on the waveforms. JD-SFR uses SDR, fractional programming and randomization technique to deal with the non-convex optimization problems encountered in the solution process. JD-CD transforms the optimization problem into a function of the phase of the waveform and then solves the transmit waveform based on CD. Compared with other methods, the proposed method has lower output SINR loss under strong power interference and forms deep nulls on the direction beampattern of multiple interference sources, which indicates that it has better anti-interference performance.


Author(s):  
Lekhmissi Harkati ◽  
Ray Abdo ◽  
Stephane Avrillon ◽  
Laurent Ferro-Famil ◽  
Isabelle Gouttevin ◽  
...  

2020 ◽  
Vol 64 (1) ◽  
Author(s):  
Taikun Ma ◽  
Zipeng Chen ◽  
Jianxi Wu ◽  
Wei Zheng ◽  
Shufu Wang ◽  
...  
Keyword(s):  

Author(s):  
C.A. Alistarh ◽  
P.D.H. Re ◽  
T.M. Strober ◽  
S.A. Rotenberg ◽  
S.K. Podilchak ◽  
...  

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