This paper compares performance of nite impulse response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation resul

在最小二乘参数估计值的基础上，引进补偿项σW2C-1D Ø 0，则获得了参数的无偏估计。针对模型噪声来说，RCLS算法的适应能力比RLS更好。-In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. Accordi