Phased-MIMO Radar With Frequency Diversity for Range-Dependent Beamforming

2013 ◽  
Vol 13 (4) ◽  
pp. 1320-1328 ◽  
Author(s):  
Wen-Qin Wang
Keyword(s):  
Mimo Radar ◽  
Frequency Diversity

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
Keyword(s):  
Mimo Radar ◽  
Frequency Diversity ◽  
Deceptive Jamming

scholarly journals MIMO radar signals with better correlation characteristics

2020 ◽  
Vol 71 (3) ◽  
pp. 210-216
Author(s):  
Pavel Bezoušek ◽  
Simeon Karamazov
Keyword(s):  
Mimo Radar ◽  
The Other ◽  
Nonlinear Frequency ◽  
Frequency Diversity ◽  
Radar Systems ◽  
Signal Characteristics ◽  
Cross Correlations ◽  
Transmitted Signal ◽  
Transmitting Antenna ◽  
Signal Coding

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.

Array Grating Lobe Elimination of F-MIMO HF Radar with Colocated Antennas

2014 ◽  
Vol 556-562 ◽  
pp. 4510-4513
Author(s):  
Qiang Yang ◽  
Xian Mei Hou
Keyword(s):  
Multiple Input Multiple Output ◽  
Pso Algorithm ◽  
Mimo Radar ◽  
Hf Radar ◽  
Frequency Diversity ◽  
Grating Lobe ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Array Structure ◽  
Receive Array

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.

scholarly journals Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Yonghao Tang ◽  
Xiaofeng Ma ◽  
Weixing Sheng ◽  
Yubing Han
Keyword(s):  
Spatial Frequency ◽  
Target Detection ◽  
Mimo Radar ◽  
Radar System ◽  
Frequency Diversity ◽  
Frequency Channel ◽  
Waveform Optimization ◽  
Water Filling ◽  
Water Filling Algorithm ◽  
Complex Target

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.

scholarly journals Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Xingxing Li ◽  
Dangwei Wang ◽  
Xiaoyan Ma
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Three Dimensional ◽  
Mimo Radar ◽  
Joint Estimation ◽  
Target Localization ◽  
Two Dimensional ◽  
Frequency Diversity ◽  
Cramer Rao Bound

Target localization using a frequency diversity multiple-input multiple-output (MIMO) system is one of the hottest research directions in the radar society. In this paper, three-dimensional (3D) target localization is considered for two-dimensional MIMO radar with orthogonal frequency division multiplexing linear frequency modulated (OFDM-LFM) waveforms. To realize joint estimation for range and angle in azimuth and elevation, the range-angle-dependent beam pattern with high range resolution is produced by the OFDM-LFM waveform. Then, the 3D target localization proposal is presented and the corresponding closed-form expressions of Cramér-Rao bound (CRB) are derived. Furthermore, for mitigating the coupling of angle and range and further improving the estimation precision, a CRB optimization method is proposed. Different from the existing methods of FDA-based radar, the proposed method can provide higher range estimation because of multiple transmitted frequency bands. Numerical simulation results are provided to demonstrate the effectiveness of the proposed approach and its improved performance of target localization.

scholarly journals Detection performance of spatial-frequency diversity MIMO radar

2014 ◽  
Vol 50 (4) ◽  
pp. 3137-3155 ◽  
Author(s):  
Hongwei Liu ◽  
Shenghua Zhou ◽  
Hongtao Su ◽  
Yao Yu
Keyword(s):  
Spatial Frequency ◽  
Mimo Radar ◽  
Detection Performance ◽  
Frequency Diversity
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