RIA: Adaptive Equalization and Detection of Cochannel Signals for Time-Varying Channels

Shynk本研究开发了非线性自适应算法，用于检测在时变信道上传输的同信道信号。这些算法直接估计两个信道，并且结果用于执行联合序列估计或联合符号检测。至少有两个性能标准正在考虑，包括最大似然序列估计和最大后验符号检测。重点将放在应用程序中的信道是快速时变的，数据传输在短脉冲串。将快速训练与盲均衡/跟踪相结合以进行同频信号检测的双模自适应算法也正在开发中。联合收割机。这些算法将被设计为与传统的干扰消除技术相比具有上级符号错误率性能。

Shynk This research is developing nonlinear adaptive algorithms for the detection of cochannel signals transmitted over time- varying channels. These algorithms directly estimate both channels, and the results are used to perform joint sequence estimation or joint symbol detection. At least two performance criteria are being considered, including maximum likelihood sequence estimation and maximum a posteriori symbol detection. The focus will be on applications where the channels are rapidly time-varying and the data are transmitted in short bursts. Dual- mode adaptive algorithms that combine fast training with blind equalization/tracking for cochannel signal detection are also being developed. These algorithms will be designed to have a superior symbol error rate performance compared to conventional interference cancellation techniques.