基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。

Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.

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用合适的状态空间邻近矢量进行非线性局部分析，即使没有基音周期估计，短时预测器同样能建立长时相关性模型。

With an appropriate state space neighbour for the nonlinear local analysis, the short_delay predictor is also able to effectively model the long_term correlation without pitch estimation.

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本文采用对消息和信道过程进行联合估计的方法，以建立最佳非线性相位估计器。

In this paper, the method to carry out the joint estimation to the message and channel processes is applied so that an optimal nonlinear phase estimator can be built.

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