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极坐标格式算法(PFA)因受波前弯曲误差的影响,其有效成像场景范围受到一定的限制。采用图像域的空变滤波(SVPF)处理可以有效补偿波前弯曲误差,但为了简化分析,已有SVPF方法在补偿过程中都采取了一定的近似,在对大场景进行高分辨率成像时仍然不能满足聚焦精度要求。对PFA的极坐标格式转换给出了一种新的解析解释,利用该解释推导得到了精确的波前弯曲误差表达式;基于该波前弯曲误差模型,提出了一种基于两维SVPF处理的波前弯曲误差补偿方法。最后通过仿真数据处理验证了该算法的有效性。
Due to the influence of the pre-wave bending error, the range of effective imaging scene of PFA is limited. SVPF processing can effectively compensate the wavefront bending error. However, in order to simplify the analysis, the existing SVPF methods all take some approximations in the compensation process. In the case of high-resolution imaging of large scenes, Can not meet the requirements of focus accuracy. A new analytical interpretation of polar coordinate format conversion of PFA is given. Using this interpretation, an accurate expression of wavefront bending error is derived. Based on this wavefront bending error model, a two-dimensional SVPF-based Wavefront bending error compensation method. Finally, the effectiveness of the algorithm is verified by simulation data processing.