论文部分内容阅读
无线信道中的噪声会造成信道冲激响应的估计误差,降低系统性能。为了有效降低噪声对信道估计结果的影响,提出了一种基于信道冲激响应估计中噪声分布特性的置信度方案。该方案根据信道估计结果的多帧统计特性计算每个采样点的置信度,并根据置信度对信道估计结果中的多径与噪声进行区分,然后对噪声进行有效地抑制。分析和仿真结果表明,该方法能够降低信道估计的误差。在双PN序列填充的时域同步正交频分复用(TDS-OFDM)系统中,其误符号率较传统的信道估计算法在静态和时变信道下均有一定的性能改善,同时该算法也大大降低了硬件实现的复杂度。
Noise in the wireless channel can cause estimation errors in the channel impulse response and reduce system performance. In order to effectively reduce the impact of noise on the channel estimation results, a confidence scheme based on noise distribution in channel impulse response estimation is proposed. The scheme calculates the confidence of each sampling point according to the multi-frame statistical characteristics of the channel estimation result, and distinguishes the multipath and noise in the channel estimation result according to the confidence level, and then suppresses the noise effectively. Analysis and simulation results show that this method can reduce the error of channel estimation. Compared with the traditional channel estimation algorithm, both the static and the time-varying channels have better performance in the double-PN sequence-filled Time Domain Synchronous Orthogonal Frequency Division Multiplexing (TDS-OFDM) system. Also greatly reduces the complexity of the hardware implementation.