Improved parallel interference cancellation based on conditional likelihood function

Author

Feng, Xu ; Guizhong, Liu ; Zhaohua, Zeng

Author_Institution

Xi´´an Jiaotong Univ., China

Volume

4

fYear

2003

fDate

6-10 April 2003

Abstract

An improved parallel interference cancellation (PIC) detector is presented based on the conditional likelihood function. The improved PIC benefits from an additional correcting module after the last stage, where the maximum likelihood algorithm is employed using only the conditional likelihood function, which is calculated from tentative decision information. Analysis and simulation show that the new algorithm can improve the bit error rate (BER) performance of PIC with much lower computational complexity than the optimum detector.

Keywords

code division multiple access; computational complexity; error statistics; interference suppression; maximum likelihood detection; multiuser detection; radiofrequency interference; spread spectrum communication; BER; DS-CDMA; MAI; PIC detector; bit error rate; computational complexity; conditional likelihood function; maximum likelihood algorithm; maximum likelihood detection; multiple access interference; multiuser detection; parallel interference cancellation detector; tentative decision information; Algorithm design and analysis; Bit error rate; Computational modeling; Detectors; Interference cancellation; Maximum likelihood detection; Multiaccess communication; Multiple access interference; Performance analysis; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202677

Filename

1202677