An approach for multiple moving targets detection and velocity estimation

The purpose of range tracking and velocity estimating for multiple moving targets is to accurately track the location of the targets and their differential changes. In this paper, an approach for multiple moving targets detection and velocity estimation in radar is proposed. By using transformable periods and symmetrical LFM (TPS-LFM) waveform, multiple moving targets detection is possible. Since this radar waveform will increase the complexity of signal processing. To resolve this problem, an effective algorithm based on discrete match Fourier transform (DMFT) is proposed for chirp rate estimation and used to overcome the difficulty of parameter estimation for multiple moving targets. The signal model and the detection method are discussed and some simulations are performed. Theoretic derivation and computer simulations show that multiple moving targets can be easily detected with high range resolution and high velocity resolution, and under certain conditions, the false detections of unnecessary targets and failures to detect necessary targets, which used to be major problems in detection performance, can be substantively reduced. Its usefulness in multiple moving targets detection and velocity estimation in various radar, such as automotive collision avoidance radar (ACAR) and moving target indicator (MTI) radar, are confirmed.