自适应MPAM解调方法研究

An adaptive demodulation method for MPAM signals

提出了一种新型的基于自适应滤波器权系数解调多进制幅度调制(MPAM)信号的方法。文中以常用的最小均方误差自适应算法(LMS)为例,讨论了新型的MPAM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和处理速度。给出的理论性能与仿真结果表明,MPAM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。

A method for demodulating the M-ary PAM （MPAM） signals basing on the adaptive filter weigh is presented. The commonly used least mean square （LMS） error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the adaptive MPAM demodulation method. The adaptive MPAM demodulation does not require the adaptive filter convergent. Therefore, the sampling rate and processing speed are decelerated. The theoretical performance of the method is compared with computer simulation results. It shows that the error rates in simulation agree well with 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 sampling rate.