scholarly journals Extended Target Recognition in Cognitive Radar Networks

Sensors ◽  
2010 ◽  
Vol 10 (11) ◽  
pp. 10181-10197 ◽  
Author(s):  
Yimin Wei ◽  
Huadong Meng ◽  
Yimin Liu ◽  
Xiqin Wang
Keyword(s):  
Target Recognition ◽  
Cognitive Radar ◽  
Radar Networks ◽  
Extended Target

Extended target detection for OFDM cognitive radar

2016 ◽  
Vol 52 (19) ◽  
pp. 1637-1638 ◽  
Author(s):  
Shanna N. Zhuang ◽  
Qingyuan Fang ◽  
Bin Ren
Keyword(s):  
Target Detection ◽  
Cognitive Radar ◽  
Extended Target

scholarly journals Radar Waveform Design for Extended Target Recognition under Detection Constraints

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Huadong Meng ◽  
Yimin Wei ◽  
Xuhua Gong ◽  
Yimin Liu ◽  
Xiqin Wang
Keyword(s):  
Optimization Problem ◽  
Target Recognition ◽  
Signal To Noise Ratio ◽  
Recognition Performance ◽  
Waveform Design ◽  
Code Design ◽  
Quadratic Optimization Problem ◽  
Important Constraint ◽  
Extended Target ◽  
Gaussian Disturbance

We address the problem of radar phase-coded waveform design for extended target recognition in the presence of colored Gaussian disturbance. Phase-coded waveforms are selected since they can fully exploit the transmit power with sufficient variability. An important constraint, target detection performance, is considered to meet the practical requirements. The waveform is designed to achieve maximum recognition performance under a control on the achievable signal-to-noise ratio (SNR) of every possible target hypothesis. We formulate the code design in terms of a nonconvex, NP-hard quadratic optimization problem in the cases of both continuous and discrete phases. Techniques based on semidefinite relaxation (SDR) and randomization are proposed to approximate the optimal solutions. Simulation results show that the recognition performance and the detection requirements are well balanced and accurate approximations are achieved.

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