提出了一种新型的基于自适应滤波算法的解调二进制相移键控（BPSK）信号的方法。以常用的最小均方误差自适应算法（LMS）为例，讨论了新型的BPSK自适应解调的过程及其性能。该解调算法不需要自适应滤波器完成收敛，从而降低了采样频率。给出的理论性能与仿真结果表明，BPSK自适应解调的误码率仿真结果与理论值吻合非常好；而且该方法具有抗干扰性能强、输出响应快、便于数字信号处理（DSP）技术实现等特点，在相同的采样频率下其误码率优于相关解调的误码率。

The paper presents a novel method for demodulating the binary phase shift keying (BPSK) signals basing on adaptive filtering. The commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the novel adaptive BPSK demodulation. The novel adaptive BPSK demodulation does not need the adaptive filter completing convergence. The performance of the method in theory is compared with computer simulating results. It shows that the error rates in simulation agree well with that in theory. Also, it is indicated that the demodulation method has many advantages over conventional ones, such as the powerful anti-noise ability, the small transfer delay, and the convenient implementation with DSP technology, and has lower error rates than correlation modulation at the same sample rate.