DOA Estimation Of ULAs With Unknown Mutual Coupling

The Spatial Spectrum Technlogy is a research based on multi-sensor array processingsystem to get accurate estimates of a number of parameters of interest in spacesignals.But,in practical engineering applications,due to a variety of error can not beavoided,for example, the unknown mutual coupling, the manifold in practical andtheoretical have a certain degree of deviation or jitter.Thus,the performance of the usualspatial spectrum has been serious deteriorated.Therefore,the error is the practicalbottlenecks of the space spectrum estimation techniques.In this paper,the main research is the DOA estimation algorithm with unknown mutualcoupling. An improved reconstruction algorithm and sparse arrays passive error correctionalgorithm has been proposed based on the analysis and research of mutual coupling model.On the research of sparse arrays passive error correction algorithm,we compensate themutual coupling effect by applying a group of auxiliary sensors in an uniform linear array.Then we utilize the Capon spectrum to design a weighted matrix which varys with thepower of the source signals to weight the array output signals. Finally,we estimate the targetsignals by using the L1norm constraint optimization model.An algorithm of direction finding is proposed in the presence of unknown mutualcoupling.The preliminary dtrection of arrival is estimated using the whole array.Then,afurther refinement can be conducted by estimating an angularly dependent coefficients withthe subspace theory.The mutual coupling coefficients are finally determented by solving theleast squares problem. Compared to other estimation algorithms based on initial estimationand iterative,the use of the mutual coupling compensation obtain more accurate estimationresults orientation and better robustness.