基于二阶统计量的盲均衡算法大多要求估计信道阶数。根据噪声功率随信道阶数的变化特点,提出一种新的阶数估计算法。实验表明,与传统算法相比,该算法不仅复杂度低,在低信噪比和小样本个数情况下估计性能良好,且不依赖于具体的盲信道估计算法,具有较强的适用性。 Blind equalization algorithms based on second-order statistics mostly require the estimation of the channel order. According to the variation of noise power with the order of channel, a new algorithm of order estimation is proposed. Experiments show that compared with the traditional algorithm, this algorithm not only has low complexity, but also has good performance under low signal-to-noise ratio and small number of samples, and does not depend on the specific blind channel estimation algorithm.