Signal Spatial Correlation Improvement and Correlation Detection Method Based on Sparse Reconstruction

Correlation detection method is usually applied to underwater target detection, the detection performance of which is affected by spatial correlation attenuation easily. In the paper, a correlation detection method based on sparse reconstruction via orthogonal matching pursuit is proposed. Based on the sparse representation property of the received signal, the method recovers the received signal by selecting the smallest number of dictionary atoms from the set of over-complete dictionary atoms by using the orthogonal matching pursuit method. In the process of the signal reconstruction, the essential characteristic components of the signal are retained and the small characteristic components affected easily by environmental disturbance and the noise are abandoned through threshold setting. Results show that sparse reconstruction can reduce environmental effects and improve the spatial correlation characteristic, and that the correlation detection method based on sparse reconstruction performs better than the traditional correlation detection method. The results are validated by computer simulations.