Advanced Method for Detecting Multi-Component LFM Signals in a Complex Interference Environment

This paper describes the challenges of detection and parameter estimation priori unknown multi-component radar signals with linear frequency modulation (LFM) in intense noise and complex jamming conditions. A method including two stages is proposed: The first stage is to detect signals, or in other words, estimate the chirp rate, and second is to estimate the pulse width of signals. The proposed approach is firstly examined by identifying the LFM signals in the environment of intense noise and mixing that noise with the continuous wave (CW) signal in MATLAB. An experiment with real-time LFM signals confirms that the method is able to detect and estimate the parameters of multi-component LFM signals in intense noise or in combining CW signal and that noise with a signal-to-noise ratio (SNR) greater than -18dB and -12dB, respectively.