Parameters Estimation Algorithm of LFM Pulse Compression Radar Signal

Under low signal noise ratio, estimation accuracy using classical algorithms, such as envelope-demodulation and instant autocorrelation spectrum, can't satisfy with the system requirements. To enhance the estimating accuracy of pulse repetition interval, pulse width and frequency modulation rate, an integrated method of multi-parameter estimation is proposed based on fractional Fourier transform (FRFT) in this paper. The focusing capability of FRFT was used for linear frequency modulation (LFM) signal and the relativity of estimation algorithm for each parameter was considered. Moreover, the founded test platform was utilized that transmits and receives LFM pulse compression radar signal to do a trial on algorithm. The results demonstrate its feasibility. The proposed method could not only get high estimation accuracy but also have good ability in real-time processing.