多重频解模糊中降低频道量化误差的新方法

摘要

PRF varied method of improving the accuracy of frequency estimation is adopted to resolve the problem of velocity ambiguity of low repetition rate pulse Doppler radar. However, the PRF varied method in engineering applications exists a channel quantization error. In order to reduce channel quantization error, a new approach to improve the estimation accuracy is proposed. The accumulated data in the range bin where target exists is inversely transformed to be raw data, and then zero-pad FFT is performed. On this basis, the quadratic function fitting is conducted. It effectively combines the advantages between zero-padding FFT and quadratic function fitting, and makes up for their shortcomings. Simulation results show that the method can reduce the channel quantization error in the case of little computation.%针对工程应用中采用重频参差法解脉冲多普勒雷达的速度模糊存在频道量化误差问题,提出了一种提高频率估计精度的综合方法.该方法首先将目标所在距离单元相参积累后的频域数据,通过傅里叶反变换为原始数据,然后补零FFT,在此基础上运用二次函数拟合,进一步提高频率估计精度.它有效结合了补零FFT和二次函数拟合两种方法的优点,弥补了二者的不足.仿真结果表明,该方法在运算量不大的情况下,即可很好地降低频道量化误差.