Abstract:

To deal with the case that modern battlefield often has maneuvering targets, a method of maneuvering target tracking is proposed based on waveformagility with multi-sensors to improve the veracity and accuracy of the performance. First, we establish the Cramer-Rao lower bound （CRLB） function of the measure errors of the sensors. Since the function consists of the parameters of the transmitted waveform, which can be selected adaptively, we can minimize the covariance of the measurements. Then the tracking precision is improved and the signal-to-noise ratio （SNR） is increased. The algorithm given above takes the measurements from two-dimensions space to realize target tracking. And we compare it with the conventional Kalman filtering, particle filtering and the method with waveform-agility which only has measurements from the onedimension space. Simulation results show that the proposed algorithm provides better tracking performance.