Advanced multi-stage interference canceller systems with adaptive radio channel estimation using pilot and information symbols

This paper proposes advanced multi-stage interference canceller systems (MSICS) which can estimate radio channels with precision in the direct sequence code division multiple access (DS-CDMA) systems. For the accurate channel estimations, we propose a novel radio channel estimation method specified by the following two signal processing methods. One is the radio channel estimation using both pilot and information signals. The other is the correction of estimated radio channels using adaptation algorithm based on the least mean square method (LMS). The results of our computer simulation indicate that the cell capacity of the advanced MSICS in serial and parallel structure can be increased by about 1.8 and 1.3 times over that of a receiver which does not has a canceller, respectively. Moreover, the advanced MSICS in serial and parallel structure can reduce the required Eb/N0 by about 1.2 dB and 1.6 dB at a BER of HT3 compared to the Ei/N0 of a basic MSICS, respectively.