An Optimal Radar Signal Processor in Short Time Fractional Fourier Transform

摘要

High performance radar requires more and more accurate target models to achieve target detection and repress disturbance. Fractional Fourier Transform (FrFT) is a powerful tool that detects the chirp signals in the noisy environments. Yet, if the interference is inseparable from thesignal in any order of FrFT, its performance degrades. In this paper, we propose the Short Time Fractional Fourier Transform (STFrFT) to detach the signal from the interference. This paper also provides an optimum radar signal processor design that relies on STFrFT to detect the known targetmodel from the noisy environment. The performance of the proposed optimum radar processor is evaluated and compared with the processor based on Fast Fourier Transform (FFT), FrFT, Short Time Fourier Transform (STFT) and Short Time Fractional Fourier Domain (STFrFD) filter. It shows best detectionresults, when the signal and the interference lie close with smaller distance between them. Further, the parameters like, time of arrival and pulse width are detected for the estimated chirp signals.