Li Yanxin

An Adaptive Demodulation Method for QAM Signals

The paper presents a novel method for demodulating the QAM 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 QAM demodulation. The novel adaptive QAM demodulation does not need the adaptive filter completing convergence. Therefore, the sampling rate and processing speed are decelerated. 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.

Use adaptive filter to demodulate MPAM signals

The paper presents a novel method for demodulating the M-ary PAM (MPAM) signals basing on the adaptive transversal filter weigh. 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 MPAM demodulation. The novel adaptive MPAM demodulation does not require the adaptive filter completing convergence. Therefore, the sampling rate and processing speed are decelerated. Computer simulation 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 being convenient in implementation with DSP technology and having lower error rates than correlation modulation at the same sampling rate.