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- W2621705637 abstract "For the problem of detecting range-spread target with spare scatterers in non-Gaussian clutter modeled as spherically invariant random vector(SIRV). Firstly, it is assumed that the number of the target scatterers is known and a generalized likelihood ratio test detector based on scatterers number (SN-GLRT) is proposed. Then a sparse scatterers target detector based on GLRT (SST-GLRT) is proposed for unknowing the number of scatterers. The detection statistic of the SSR-GLRT is the weighted sum of the detection statistic of the SN-GLRT. The SSD-SST-GLRT and the NSSD-SST-GLRT are proposed based on the density of the scatterers. The analytical expression relating false alarm probability to detection threshold is deduced and the CFAR property of the SSD-SST-GLRT and the NSSD-SST-GLRT is proved. The results show that the detection performance of NSSD-SST-GLRT is better than the NSDD-GLRT. The detection performance of the SSD-SST-GLRT is better than the SDD-GLRT when the number of scatterers is known. The robustness of the SSD-SST-GLRT is better than the MSDD when the number of scatterers is unknown." @default.
- W2621705637 created "2017-06-15" @default.
- W2621705637 creator A5061469242 @default.
- W2621705637 date "2017-01-01" @default.
- W2621705637 modified "2023-09-26" @default.
- W2621705637 title "Research on Sparse Targets Detection Methods Based on GLRT in Non-Gaussian Clutter" @default.
- W2621705637 doi "https://doi.org/10.11648/j.sd.20170501.15" @default.
- W2621705637 hasPublicationYear "2017" @default.
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