Novel Multi-Correlation Differential Detection for improving detection performance in DSSS

Multipath, Multiple-Access-Interference (MAI) and Near-Far effect are three main influences on the performance of CDMA-based communication and navigation systems. A great deal of research has been conducted to develop advanced signal processing algorithms and novel receiver structures useful for mitigation of these effects in mobile land wireless communication systems, such as UMTS. One effect way of dealing with multiuser interference in CDMA systems is to employ Successive-Interference-Cancellation (SIC). However, the difficulty in performing SIC for some scenarios, for example, indoor location systems, lies in accurately estimating the amplitude, which is dependent on the transmitter´s location and is not directly known, of the signal to be canceled. In this paper we introduce a novel receiver structure Multi-Correlation Differential Detection (MCDD) to suppress the Inter-Symbol-Interference (ISI), MAI and Near-Far effect effectively and just a simple peak detection algorithm is needed for ranging signal time-of-flight (ToF) for location systems. Especially under severely Near-Far effect the MCDD receiver outperforms in terms of probability of detection over traditional matched filter noticeably.