TD-SCDMA系统中基于时域数据统计信息的信道估计算法

An Improved Channel Estimation in TD-SCDMA System Based on Statistical Channel Information of the Data Field

TD-SCDMA系统中运用的B.Steiner估计器是一种低代价的信道估计器,由于受到噪声的影响,其导致估计的精度有限。以Steiner算法为基础,有多种基于门限处理的信道估计算法,如何设置门限是这类改进算法的关键问题。本文对信道估计算法的时域结果进行能量检测,基于时域数据统计信息给出信道估计改进算法。仿真结果表明,改进的信道估计使系统的性能获得较大的改善与提高。

B. Steiner estimator used in the time-division synchronous code-division multiple access （TDSCDMA）system is a low cost estimator. The precision of the estimated channel impulse responses （CIRs）is affected by noises in the channel, which result in worse performance of the estimation. There aremany threshold processing algorithms which are based on Steiner algorithm, so the optimal thresholdvalue becomes a crucial factor. In this paper, based on statistical information of channel in the data field,an improved channel estimation algorithm is proposed by detecting energy of CIR’s tap in time-domain.The simulation result has shown that the system performance is considerably improved.