Abstract
For the pulse Doppler radar system with short pulse sequence, maximum eigenvalue-based matrix CFAR detector (MEMD) provides an effective solution to the problem of detecting moving targets in the background of K distribution sea clutter when the target Doppler frequency is within clutter spectrum. However, its performance is inferior to adaptive normalized matched filter method (ANMF) when the target Doppler frequency heavily deviates from the clutter spectrum. In essence, the reason for the better performance of ANMF method is the clutter is effectively suppressed by whitening and matched filter. Motivated by this, the fusion idea of eigenvalue detection and pre-processing via fast Fourier transform is considered taking advantage of the priori information of target steering vector. A pre-processing-based maximum eigenvalue matrix CFAR detection (P-MEMD) method is proposed to suppress the influence of clutter on detection performance. Finally, the numerical experimental results based on simulated data and real sea clutter data show that the proposed method achieves better detection performance and robustness than some conventional methods.
Highlights
The effective and robust detection for moving target in sea clutter is always an important and challenging task for maritime radar detection, which is meaningful for both military and civilian
The combined idea of eigenvalue detection and pre-processing is adopted to weaken the influence of clutter on the detection performance as well as improve the detection performance of maximum eigenvalue based matrix constant false alarm detection (CFAR) detector (MEMD) especially when target spectrum separates from the clutter spectrum
The pre-processing via fast Fourier transform (FFT) based maximum eigenvalue matrix CFAR detector (P-MEMD) is proposed to improve integration gain using the prior information of target steering vector
Summary
The effective and robust detection for moving target in sea clutter is always an important and challenging task for maritime radar detection, which is meaningful for both military and civilian. The totally blind matrix CFAR detector based on information geometry obtains good detection performance for the problem of detecting moving target in sea clutter [19]–[22] It transforms the target detection problem into a geometric problem on matrix manifold, which overcomes the shortcomings of traditional FFT-CA method under the condition of short pulse sequence. The maximum eigenvalue based matrix CFAR detector (MEMD) is given to reduce computational complexity [23] It achieves superior detection performance when the target Doppler spectrum overlaps with the clutter spectrum. The pre-processing via fast Fourier transform (FFT) based maximum eigenvalue matrix CFAR detector (P-MEMD) is proposed to improve integration gain using the prior information of target steering vector.
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