DOA Estimation Based On Compressed Sensing By Special Arrays

The traditional Direction-of-Arrival(DOA)estimation algorithms need large snapshots and are sensitive to noise but can not deal with coherent sources.Compressed sensing and DOA(CS-DOA)estimation can deal with the DOA estimation of coherent sources under less snapshots and low SNR.In order to improve spatial resolution and array utilizable rate of CS-DOA,the paper researched the CS-DOA estimation under special arrays.First,the paper proposed an Orthogonal Matching Pursuit(OMP)algorithm based on Minimum-Redundancy Linear Array(MRLA)according to low array utilizable rate and huge calculation in CS-DOA.This algorithm utilized the MRLA to accept signal which expanded the array aperture.After that update the observation matrix under MRLA which reduced the dimension of observation value.Experiment simulations showed that the proposed algorithm achieved super resolution DOA estimation with less antenna and snapshots in low SNR.Second,the paper proposed an Immune Genetic algorithm based on Chaos Mechanism(MC-IA)restricted by array aperture and the number of antennas to search the optimal array configuration.This algorithm determined the length of vaccine through chaos mechanism and produced special vaccine by the best parent individual.Vaccination fully utilized the prior information of restriction and improved the diversity of array.Compared with traditional genetic algorithm,this algorithm avoided premature and population degeneracy.Experiment simulations showed that the optimal array configuration searched by Immune Genetic algorithm based on Chaos Mechanism had higher fitness.At last,the paper proposed an Orthogonal Matching Pursuit(OMP)algorithm based on Non-uniform Linear Array(NLA)for the sake of applying CS-DOA into more arrays.This algorithm utilized immune genetic algorithm based on chaos mechanism to search the optimal array configuration restricted by array aperture and the number of antennas.Then used the searched optimal array to accept signal and updated the observation matrix.Experiment simulations showed that this algorithm not only had better ability of dealing with coherent sources and higher spatial resolution and array utilizable rate but also had flexible position setting which satisfied the demand of actual complex engineeringenvironment.