Cognitive Radar Tracking in the Multiple-Target Environment

The problem of target tracking for cognitive radar in the multiple-target environment is studied, and a tracking method for tracking multiple targets is proposed based on waveform optimization and quick particle filter. In the measurement model, the measurement equation is modeled by the sampled received data to avoid the problem of data association. In the state model, the positions, velocities and the scattering coefficients of multiple targets are estimated jointly to match the measurement model. Consider cognitive radar which can transmit and receive signals adaptively: 1) receive signals adaptively. In order to decrease the computing complexity caused by the high dimension of measurement data, the modified particle filter is used to track the multiple targets; 2) transmit signals adaptively. Based on the positive relation between signal-to-noise rate (SNR) and tracking performance, the transmitted waveform is optimized based on SNR criterion. Simulation results show that the multiple targets can be precisely tracked by the proposed method, and the tracking performance of adaptive waveform is better than that of traditional fixed waveform.