ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Localization and Estimation of Gain-phase Error for Bistatic MIMO Radar Based on Sparse Representation
Received date: 2012-07-04
Revised date: 2012-11-09
Online published: 2013-01-05
Supported by
National Natural Science Foundation of China (60702015)
A new algorithm is presented for the joint estimation of angle and gain-phase error of a bistatic multiple-input multiple-output (MIMO) radar based on sparse representation. The transmitting and receiving covariance matrices are constructed by using the received data. Two one-dimensional sparse linear models are obtained by performing the vectorization operation on the transmitting and receiving covariance matrices. Then the mixed L2-L1 norm cost functions are constructed, in which the solution is derived by utilizing the alternating minimization technique. Furthermore, the coverage analysis of the iterative algorithm is provided. Compared with the existing algorithms, the proposed method fully utilizes the sparse characteristic of the spatial field of a target, and the noise can be suppressed by pre-estimating the noise power. The simulation results show that the proposed method can achieve good estimation performance even under low signal to noise ratio (SNR) and is robust against the variation of gain-phase errors.
ZHENG Zhidong , ZHANG Jianyun , SONG Jing , XU Xuyu . Localization and Estimation of Gain-phase Error for Bistatic MIMO Radar Based on Sparse Representation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(6) : 1379 -1388 . DOI: 10.7527/S1000-6893.2013.0238
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