Abstract: In order to improve the tracking precision of radar to low altitude targets, we propose a novel real-time bias compensation algorithm based on the fading memory recursive algorithm of least squares estimation. Different devises are used to track the target simultaneously and different tracking results are obtained. The recursive algorithm of least squares estimation is used to give different weight to the different tracking results. The estimation of the angle measurement bias is obtained. By theoretical analysis, the multipath environment model is achieved, and the performance of the proposed algorithm is checked. The results show that estimation error of the proposed algorithm is relatively small. And it can also reduce the vibration of the angle measurements and give stable estimating results.

Key words:  low-elevation target, angle measurement bias, real-time compensation algorithm, fading memory recursive algorithm of least squares estimation, off-axis tracking technique