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传统的信道估计算法优化是采用MMSE及其变形LMMSE等一类算法,但该算法需要大量的信道统计信息,复杂度高,文中的信道估计方法采用基于导频的信道方法,该方法通过把信道冲激响应中最有利用价值的采样点抽取出来,去除掉噪声的干扰。使得性能能达到MMSE(最小均方误差)信道估计算法的性能。又尽量避免利用传统MMSE等一类算法中计算大量的信道先验统计信息。降低算法的复杂度,利于工程实现。文中论述了两种算法,门限选择算法和即时能量算法。通过仿真验证,这两种算法都基本接近MMSE算法的性能,但运算量大大减少,在实际工程实现中极具实用价值。
The traditional channel estimation algorithm is based on the MMSE and LMMSE variants. However, this algorithm requires a large amount of channel statistics and has a high complexity. The channel estimation method in the paper adopts a pilot-based channel method, in which channel The most valuable sampling points in the impulse response are extracted and the noise is removed. So performance can reach MMSE (least mean square error) channel estimation algorithm performance. Try to avoid using traditional MMSE and other algorithms to calculate a large number of channel a priori statistical information. Reduce the complexity of the algorithm, which will benefit the realization of the project. This paper discusses two algorithms, threshold selection algorithm and real-time energy algorithm. Through simulation, these two algorithms are basically close to the performance of the MMSE algorithm, but the amount of computation is greatly reduced, which is of great practical value in practical project implementation.