基于自相关系数的合成权值估计算法

Combining-weight estimation algorithm based on signal autocorrelation coefficient

提出了一种适用于相关噪声条件下信号合成中最佳合成权值估计的通用算法。该算法仅需估计一组信号的自相关函数和互相关函数,通过求解一个简单的一元二次方程,就可获得最佳合成权值的估计。由于回避了估计最佳合成权值表达式中的中间变量,计算更为简单。分别对不同噪声条件下的QPSK、8PSK和64QAM调制信号进行了大量计算机仿真,结果表明该算法均能够准确估计出最佳合成权值,同时还具有鲁棒性强、通用性好的特点。

An optimal combing weight estimation algorithm is proposed. It is applicable for signal synthesis under the condition of correlated noises. Different from the traditional algorithm, the operation of the new algorithm only relies on the auto-and cross-correlation functions of multiple signals, and the solution of a trivial quadratic equation with one unknown. Without computing the middle variables, such as noise variance, signal amplitude and noise cross-correlation coefficient, the computation of the algorithm is very simple. Simulations on QPSK, 8PSK and 64QAM signals, with correlated and uncorrelated noises, show that the algorithm can estimate the combing weights accurately and robustly.