Weighted autocorrelation receivers have been proposed in the literature to suppress noise or interference for transmitted reference ultra-wideband communication systems. Usually weight optimization is performed for partitioned integration bins. To improve the optimization effect, this paper proposes a digital weighted autocorrelation receiver, in which the sampled auto-correlated signal is first rearranged following a channel characteristic vector that sorts the strengths of the received channel samples, and then it is divided into multiple partitions. Finally, the integration bins corresponding to these partitions are weighted according to the minimum mean square error principle. Results show that compared to the digital versions of existing weighted autocorrelation receivers, the proposed digital scheme can achieve significantly better bit error rate performance with limited penalty in terms of implementation complexity.
['Zhonghua Liang', 'Xiaodai Dong', 'Xiaojun Yang', 'Huansheng Song']
Digital weighted autocorrelation receiver using channel characteristic sequences for transmitted reference UWB communication systems