Title :
Sparse sample matrix inversion with diagonal loading for reverberation suppression
Author :
Wei, Gao ; Jianguo, Huang ; Tian, Ma ; Qunfei, Zhang
Author_Institution :
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
The main problem of active sonar detection is that the reverberation has spatial and temporal two-dimensional coupling characteristic which is similar to clutters in airborne radar. This paper presents a sparse sample matrix inversion with diagonal loading (SSMI-DL) for reverberation suppression in active sonar. The proposed method transfers Pulse Doppler radar STAP processing techniques into active sonar application, which utilizes the inverse reverberation covariance matrix to obtain adaptive weights and avoids singular reverberation covariance matrix with diagonal loading due to limited available received data. Simulation results are provided to verify that the SSMI-DL is more effective for improving slowly moving target detection for CW pulse than the conventional methods.
Keywords :
Doppler radar; covariance matrices; radar detection; sonar detection; space-time adaptive processing; sparse matrices; CW pulse; SSMI-DL; active sonar detection; adaptive weights; airborne radar; diagonal loading; inverse reverberation covariance matrix; pulse doppler radar STAP processing techniques; radar clutter; reverberation suppression; singular reverberation covariance matrix; space-time adaptive processing; sparse sample matrix inversion; target detection; temporal two-dimensional coupling characteristic; Arrays; Covariance matrix; Jamming; Loading; Reverberation; Sonar applications; Diagonal loading; Reverberation suppression; Sample matrix inverse; Space-time adaptive processing(STAP);
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061800