论文部分内容阅读
本文提出了一种多级ＣＤＭＡ同频干扰消除算法．算法采用周期性插入已知码元的方法对反向信道特性进行精确的估计，使得在反向信道上实现导频符号辅助的相干解调．算法采用Ｖｉｔｅｒｂｉ译码器的输出作为第一级判决结果重建干扰信号而不是常规的解扩以后重建干扰信号，由于综合信道估计和卷积编码提高了干扰信号重建的准确度，从而采用干扰消除技术后剩余干扰大幅度下降，系统时延并没有显著增加．数值结果表明综合信道估计和卷积码的ＣＤＭＡ同频干扰消除技术的性能优于常规的ＣＤＭＡ同频干扰消除技术．
This paper presents a multi-level CDMA co-channel interference cancellation algorithm. The algorithm uses periodic insertion of known symbols to accurately estimate the reverse channel characteristics so that the coherent demodulation of pilot symbols can be achieved on the reverse channel. The algorithm uses the output of the Viterbi decoder as the first-order decision to reconstruct the interference signal instead of the conventional reconstructed interference signal. Since the integrated channel estimation and convolutional coding improve the accuracy of the interference signal reconstruction, the interference cancellation technique After the remaining interference dropped significantly, the system delay did not significantly increase. The numerical results show that CDMA co-channel interference cancellation technique based on integrated channel estimation and convolutional codes outperforms conventional CDMA co-channel interference cancellation techniques.