The Study On Array Signal Calibrations Algorithms Under The Conditions Of The Mutual Coupling

Spatial spectrum estimation technique has a high DOAestimation accuracy, the ability todistinguish, and can estimate the characteristics of multiple signals. Array error will result inthe actual array flow pattern and the theoretical value of the deviation, which would make thespace spectral estimation technology performance degradation or even failure, so the elementerror is the spatial spectrum estimation technique toward practical bottleneck. Relative toother errors in the form of mutual coupling error is an unknown parameter and the morecomplex error correction method, the array mutual coupling error correction has been difficultto find a simple and effective method of mutual coupling error correction method, so mutualcoupling error has become one of the current studying hotspots.This paper focus on the above problem deeply analyzed and studied the correctionmethod of array mutual coupling error. This article introduced the foundation of the arrayerror calibration method from the perspective of spatial spectrum estimation, and introducedthe MUSIC algorithm based on array mutual coupling error model and error on the effects ofmutual coupling algorithm. Array calibration method is divided into two categories: acategory error by estimating the mutual coupling method to achieve error correction,including active correction method and self-correction method. The method is mainly to thearray mutual coupling errors in mathematical modeling, then mutual coupling error correctioninto a multi-parameter joint estimation problem, and then finding the optimal solution toachieve the error estimates, and finally completed by these arrays error compensation ofmutual coupling correction. The other do not need to estimate the error of the array, using thealgorithm itself on the insensitivity of the array error to achieve good error estimates, that isrobust algorithm. Analysis and research on the L-array and Y-array of mathematical modelsand structural, and according to the properties of symmetry and mutual couplingcharacteristics, the paper are given to self-correction algorithm based on the L-array mutualcoupling correction algorithm, the algorithm avoids the multidimensional search for the enormous computational and global convergence of the iteration, and does not requirecalibration source can be of two types of parameters estimated. Relative iteration algorithm, itis characteristic of high accuracy and little computation. Finally, through simulationexperiments to verify the mutual coupling error correction method estimation performance.