scholarly journals Joint polarisation and frequency diversity for deceptive jamming suppression in MIMO radar

2019 ◽  
Vol 13 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Xinxun Zhang ◽  
Ding Cao ◽  
Leilei Xu
2012 ◽  
Vol 1 (3) ◽  
pp. 246-252
Author(s):  
Wei Li ◽  
Xing-liang Wang ◽  
Kun Zou ◽  
Yi-meng Xu ◽  
Qun Zhang

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 34582-34597 ◽  
Author(s):  
Lan Lan ◽  
Guisheng Liao ◽  
Jingwei Xu ◽  
Yuhong Zhang ◽  
Francesco Fioranelli

2020 ◽  
Vol 71 (3) ◽  
pp. 210-216
Author(s):  
Pavel Bezoušek ◽  
Simeon Karamazov

AbstractMIMO radars employ multiple transmitting and receiving antennae. For each transmitting antenna, an independent and easily distinguishable signal is required, and appropriate filters must be used by the receiver. For this, the transmitted signals should have characteristics, enabling their effective separation. In this paper the correlation characteristics of selected signals are compared, and the appropriate signal coding is suggested. For differentiation, we address signals with basic linear or nonlinear frequency modulation (LFM or NLFM) multiplied by Gold, PRN, or frequency diversity (FD) codes. The analysis shows that better signal characteristics are achieved using the FD than the other codes. Using matched filters with filter length of 511, sidelobes and cross-correlations are suppressed by 40 dB with FD codes, while with the other codes only 20 dB was achieved. It was also proven, that the FD codes are more tolerant to the Doppler shift. On the other hand, the FD codes application leads to an extension of the overall transmitted signal bandwidth. This however, only represents a serious barrier for very broadband radar systems.


2014 ◽  
Vol 556-562 ◽  
pp. 4510-4513
Author(s):  
Qiang Yang ◽  
Xian Mei Hou

Multiple-input multiple-output (MIMO) radar with frequency diversity (f-MIMO) is applied to HF radar. An array processing model of f-MIMO HF radar is developed. To eliminate the grating lobe of f-MIMO radar beamforming, two approaches are proposed. One is to apply particle swarm optimization (PSO) algorithm to select the optimal carrier frequency combination. Another is to extract array elements from the virtual receive array to get the optimal sparse array structure, and the simplified physical receive array structure is proposed. Simulation results demonstrate the effectiveness of the method proposed.


2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Yonghao Tang ◽  
Xiaofeng Ma ◽  
Weixing Sheng ◽  
Yubing Han

Benefitting from the independent target echoes of diversity channels, diversity MIMO radar can efficiently improve system performance, such as target detection and parameter estimation. Due to the fact that the RCS (radar cross section) of complex target may vary with the different transmitted carrier frequencies and array geometries, many recent researches study at the background of diversity MIMO radar equipped with widely separated array antennas or working at multiple carrier frequencies, respectively. In this paper, a new MIMO radar system combining the spatial and frequency diversities is investigated in the presence of signal-dependent clutter, which is called spatial-frequency diversity MIMO radar. With the prior information of target and clutter, a new method for joint optimization of transmitted waveforms and receiving filters is proposed to enhance the target detection ability of spatial-frequency diversity MIMO radar. Inspired by the MIMO communication system, the water-filling algorithm is introduced into the transmitted energy allocation problem for each carrier frequency channel. Simulation results show that the proposed system has a better performance in output signal-to-clutter-noise ratio (SCNR) compared to conventional diversity MIMO radar system.


Author(s):  
Yingjian Zhao ◽  
Bo Tian ◽  
Chunyang Wang ◽  
Jian Gong ◽  
Ming Tan ◽  
...  

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