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在众多变换域抗窄带干扰的信号处理技术中，自适应滤波具有对干扰频率不敏感的优点，且其权值调整是基于对系统参数的优化．但由于必须通过迭代收敛达到稳态解，自适应滤波算法不能锁定快变干扰．文中利用正交加速算法提高最小均方误差（ＬＭＳ）算法的收敛速度，推导出了使用变换域自正交加速算法时系统误码率的解析表达式．仿真结果表明，采用自正交化可以大幅度提高自适应算法的收敛速度，从而为基于变换域自适应滤波技术的接收机走向实用提供了理论基础
Among the many signal processing techniques of narrowband interference in transform domain, adaptive filtering has the advantage of being insensitive to the interference frequency and its weight adjustment is based on the optimization of the system parameters. However, due to the steady-state solution that must be achieved by iterative convergence, the adaptive filtering algorithm can not lock fast-changing interference. In this paper, the orthogonal acceleration algorithm is used to improve the convergence rate of the least mean square error (LMS) algorithm and the analytical expression of the system bit error rate (BER) when using the transform domain self-orthogonal acceleration algorithm is deduced. The simulation results show that self-orthogonalization can greatly improve the convergence speed of the adaptive algorithm, and thus provide a theoretical basis for the practical application of the receiver based on the transform domain adaptive filtering technique