反加窗算法及其在扩频系统窄带干扰抑制中的应用

为了证明反加窗算法是一种完全重构算法，将完全不同的反加窗算法和重叠加窗算法合并为相同的信噪比数学模型，分析了反加窗算法；通过建立等效模型，用信号重构理论推导出等效模型的信噪比损失，证明了反加窗算法是一种完全重构算法，提出了反加窗算法只有在信号不完全重构的条件下才需要使用的观点。在直接序列扩频系统中，通过对布莱克曼窗和汉宁窗的对比，在窄带噪声干扰下仿真误码率，证明了该文结论的正确性，并提出了干扰抑制方案。

Inverse Windowing Algorithm and Its Application to Narrow-band Interference Suppression in Direct Sequence Spectrum System

In order to prove the inverse windowing algorithm is a complete reconstruction algorithm, the inverse windowing algorithm is analyzed, through the method that the completely different inverse windowing algorithm and overlapping windowing algorithm are combined into the same mathematical model of SNR; equivalent model is established, the SNR loss of equivalent model is deduced by signal reconstruction theory, which demonstrates that inverse windowing algorithm is a kind of perfect reconstruction algorithm, so the idea is proposed that it is necessary for inverse windowing algorithm to use under conditions of incomplete reconstruction. Compared windowing effects between Hanning window and Blackman window in DSSS which contains narrow-band interference, error rate is simulated, which proves the correctness of this article conclusion. Interference suppression scheme is proposed.