The Self-calibration Method of DOA Estimation of the Mutual Coupling Error of Rank-loss for the L-shaped Array
|School||Nanjing University of Posts and Telecommunications|
|Course||Electromagnetic Field and Microwave Technology|
|Keywords||DOA Estimation L-shaped array Mutual coupling error Rank loss since the correction method|
In this paper, mutual coupling errors rank loss of self - correction method discussed mutual coupling under the conditions of the L-shaped array DOA parameter estimation problem , the main work is as follows : 1 introduces the basic concepts of the array , given the pattern of the antenna array model and array the basic principle of the exposition space spectrum estimation ; classic MUSIC algorithm , discussed the algorithm at different signal-to-noise ratio , the number of array elements and performance under different number of snapshots and simulation results . Discourse array mutual coupling error model as well as the impact on the performance of the array , the array mutual coupling errors active calibration and self - correction are two different correction methods were introduced , discussed mutual iterative self decoupling error correction method and the rank loss of self- correction law , at the same time to compare the performance of these two algorithms in the space under the conditions of mutual coupling exists spectral curve and under the conditions of different signal-to-noise ratio (SNR? 10 dB, 20dB) . The research results show that the rank loss of self- correction of the correction method performance is slightly better than the iterative method and the small amount of computation . For the L-shaped array rank loss of self- correction method with the array of special mutual coupling characteristic , the source information (DOA) and the array mutual coupling coefficient decoupled , two types of parameters can be achieved without any correction source estimates. Compared with traditional self - correction algorithm based on the minimization technique of loop iterations , the algorithm first by searching the spectral peak estimated source information (DOA), to estimate the mutual coupling coefficients , in order to avoid a multi-dimensional search brought a huge amount of computation and iterative global convergence problems . The study showed that the rank loss of self- correction method with high precision , small amount of calculation applied to the L-shaped array .