结合无线局域网(WLAN)系统进行适合实际系统的信道估计方法研究。针对实际系统在要求算法稳健性的同时,还要求算法简单易实现的特点,在最小二乘(Least Square, LS)算法中添加了离散傅里叶逆变换( Inverse Discrete Fourier Transform, IDFT)运算,利用信号在时域能量集中的特点,在时域对信号按门限值进行筛选,滤除大部分噪声,以此提高系统性能。仿真结果显示,改进算法可为实际WLAN系统所采用。
The channel estimation algorithms suitable for the real system are studied by combining with Wireless Local Area Network (WLAN) system. Aiming at the characteristics of the practical system of requiring the algorithm to be robust as well as to be easily achieved, Inverse Discrete Fourier Transform (IDFT) is added in the Least Square (LS) algorithm, which uses the signal's feature of energy concentration to select the signals based on the threshold values within the time domain to filter most noise out, thereby improving the system performance. The simulation results show that the improved algorithm can be adopted in the practical WLAN system.