Analysis of digital communication signals and extraction of parameters

Abstract

The signal classification performance of four types of Electronics Support Measure (ESM) Communications detection systems is compared from the standpoint of the unintended receiver (interceptor). Typical digital communication signals considered include Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), Frequency Shift Keying (FSK), and On-Off Keying (00K). The analysis emphasizes the use of available signal processing software. Detection methods compared include broadband energy detection, FFT- based narrowband energy detection, and two correlation methods which employ the Fast Fourier Transform (FFT). The correlation methods utilize modified time- frequency distributions, where one of these is based on the Wigner-Ville Distribution (WVD). Gaussian white noise is added to the signal to simulate various signal-to-noise ratios (SNRs)