LPI radar signal detection based on the combination of FFT and segmented autocorrelation plus PAHT
Department of Information Countermeasures, Aviation University of Air Force, Changchun 130022, China, Yang Cheng-zhi, Zhiwei Xiong, Yang Guo, Bolin Zhang, Unit 94810 of PLA, Anqing 246000, China, College of Communication Engineering, Jilin University, Changchun 130012, China, Unit 94691 of PLA, Longyang 366200, China · Journal of Systems Engineering and Electronics · 2017
This paper proposes a desirable method to detect different kinds of low probability of intercept (LPI) radar signals, targeted at the main intra-pulse modulation method of LPI radar signals including the signals of linear frequency modulation, phase code, and frequency code. Firstly, it improves the coherent integration of LPI radar signals by adding the periodicity of the ambiguity function. Then, it develops a frequency domain detection method based on fast Fourier transform (FFT) and segmented autocorrelation function to detect signals without features of linear frequency modulation by virtue of the distribution characteristics of noise signals in the frequency domain. Finally, this paper gives a verification of the performance of the method for different signal-to-noise ratios by conducting simulation experiments, and compares the method with existing ones. Additionally, this method is characterized by the straightforward calculation and high real-time performance, which is conducive to better detecting all kinds of LPI radar signals.