提高米波雷达距离分辨率的脉冲压缩方法

A New Pulse Compression Method to Improve Range Resolution of Meter-band Radar

针对米波雷达距离分辨率较低的问题,提出一种基于迭代自适应的高分辨率脉冲压缩方法。首先建立了传统匹配滤波的数学模型,在最优准则下推导了最优权矢量表达式,通过迭代更新距离像估值和权矢量,获得更高的距离分辨率和精度。与匹配滤波方法相比,所提脉冲压缩方法可以突破带宽限制,有效提高米波雷达距离分辨率。仿真结果验证了所提方法的有效性与优越性。

Meter-band radar always suffers low range resolution.To solve this problem,a new pulse compression method based on iterative adaptive technique is proposed.First the traditional matched filter model is constructed,and then the optimal weight vector expression is derived based on minimum mean-square error(MMSE),the improved resolution range profile is obtained via iteratively update the weights and the estimation of range profile.Compared to matched filter,the proposed method is able to overcome the limit of bandwidth to improve the range resolution of meter-band radar.Simulation results demonstrate the effectiveness and superiority of the proposed method.