基于小波包变换的自适应波束形成

Wave Pocket Transforms Based on Adaptive Beamforming Algorithm

在小波变换算法的基础上,结合智能天线所处理的信号空域频率较高的特点提出了基于小波包变换的线性约束最小方差波束形成算法。该算法利用了小波包分解对高频分析更细致的特性。仿真结果表明,该算法的极点处增益和零陷都优于小波变换算法。

Based on the algorithm of wavelet transforms,in light of the feature of signal received by smart antennas that it＇s frequency in space domain is very high, presents linearly constrained minimum variance beamformer based the wave pocket transforms. The algorithm take advantage of the character of wave pocket transforms that it is more delicate than wavelet transforms when it was used in high frequency analyse. The result of simulating shows that the direct gain and zeros sink of wave pocket transforms algorithm is better than that of wavelet transforms algorithm.