Target Detection Algorithm Based on Fractional Fourier Transform Cumulant
Gan Xin-nian · Torpedo Technology · 2011
Conventional signal detection and noise separation methods are limited in time domain or frequency domain,and satisfactory detection result is hard to be obtained in time-frequency domain if intensive time-frequency coupling occurs between signal and background noise.Therefore,a fractional Fourier transform(FrFT) cumulant algorithm is presented for solving this problem.The algorithm can get rid of the time-frequency coupling and reduce the noise.Per-fect detection result would be achieved in fractional Fourier domain if a suitable rotation angle is selected to match with the processing signal.Simulation results of moving target detection show that the detection performance of the FrFT cumulant algorithm is better than that of the FrFT and the fourth-order cumulant method.