Adaptive extended binary phase-shift keying waveform design algorithm for extended target detection

We discuss the problem of extended binary phase-shift keying (EBPSK)-modulated radar waveform design in the presence of colored Gaussian disturbance subject to peak-to-average-power ratio and power constraints. The research work aims at improving the target detection and parameter estimation performance with respect to Doppler shifts. We propose an EBPSK coding design algorithm by optimizing the output signal-to-noise ratio (SNR) in correspondence of the unknown target Doppler frequency. Under the same constraints as in the previous problem, we present EBPSK coding cognitive waveform design algorithm by estimating the target scattering coefficients (TSC) based on maximum output SNR criterion. The simulation experimental results showed that extended target detection performances of optimized EBSPK signals are better than those of the unoptimized EBSPK signal. The designed EBPSK signal attains better TSC estimation performance with relatively lower complexity than the EBPSK signal with arbitrary parameters in the cognitive radar system. (c) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)