自适应权向量法（ＡＷＶＭ） 检测弱信号常用ＬＭＳ滤波算法． 这种方法的最大缺陷之一是滤波器的权系数仅根据总误差值来调整的． 因此， 这些权系数相互有牵连， 这是ＬＭＳ自适应滤波器收敛响应较慢的原因之一． 克服这一缺点的一种方法是采用格型滤波算法． 应用格型ＬＳＬ滤波于ＡＷＶＭ 中检测噪声中的高频弱信号， 并应用ＤＳＰ实现高速数据处理， 仿真结果证明了它的可行性和实时性及优越性 Adaptive Weighted Vector (AWVM) commonly used weak signal detection LMS filtering algorithm. One of the biggest drawbacks of this approach is that the filter’s weight coefficients are adjusted based solely on the total error value. Therefore, these weight coefficients are implicated in each other, which is one of the reasons why the LMS adaptive filter response is slow. One way to overcome this drawback is to use a lattice filtering algorithm. Applying Lattice LSL filter to AWVM to detect high-frequency weak signals in noise and applying DSP to realize high-speed data processing, the simulation results prove its feasibility, real-time and superiority