由于联合信道估计与解码技术可以利用通信系统不同模块之间的“软信息”交换，从而有效地提高了信道估计准确程度和解码器的性能。
Using these techniques, the precision of channel estimation and the performance of decoder can be improved effectively by exchanging information between different units of a communication system.
本文提出了一种有效的状态和参数的联合估计方法。
An efficient method for the estimation of both the state and unknown parameters is presented in this paper.
其次，针对非相关信号环境提出了两种自动配对的有效联合估计方法。
Secondly, two efficient methods are suggested without pairing match problems when the signals are uncorrelated.
最后，提出了一种新的相干信号下的有效联合参数估计方法。
Finally, we propose a new 2-d DOAs estimation method for coherent narrowband signals.
该方法通过在线联合估计噪声统计特性和系统状态，有效地解决了GFSINS/GPS采用间接法组合时，无法得到准确系统噪声统计特性的问题。
Indirect method integrated can't get noise static character exactly. This method solves above problem effectively by estimation of noise static character and system vector at real-time.
该方法通过在线联合估计噪声统计特性和系统状态，有效地解决了GFSINS/GPS采用间接法组合时，无法得到准确系统噪声统计特性的问题。
Indirect method integrated can't get noise static character exactly. This method solves above problem effectively by estimation of noise static character and system vector at real-time.
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