Waveform Design Using Cauchy–Schwarz Divergence for Target Detection

Instead of maximizing the detection probability, an information-theoretic waveform design method using Cauchy-Schwarz Divergence (CSD) between the probability density functions of the two hypotheses (viz., the target is present/absent) is proposed for improving the target detection performance. A Minorization-Maximization (MM) approach is introduced to deal with the non-convex waveform optimization problem under the energy constraint. Numerical results demonstrate the feasibility and effectiveness of the proposed algorithm.