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A scalable fuzzy interference canceler for DS‐CDMA systems
Author(s) -
Bas Joan,
Neira Ana Pérez
Publication year - 2005
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20065
Subject(s) - computer science , robustness (evolution) , code division multiple access , spread spectrum , interference (communication) , fuzzy logic , electronic engineering , a priori and a posteriori , computer engineering , telecommunications , artificial intelligence , engineering , philosophy , epistemology , gene , channel (broadcasting) , biochemistry , chemistry
The spread spectrum modulation presents a more robust interference rejection capability than non‐code–based modulations. However, the increase of the communication services has augmented the power of the interference signals. One example is unlicensed bands such as the 2.4–2.5 GHz one, where the DS‐CDMA communications of the IEEE 802.11b standard are interfered with by other Industrial Scientific and Medical (ISM) services. One way of improving the interference robustness of the DS‐CDMA receivers is introducing an interference canceler (IC) before the despreading stage. The optimum criterion to estimate or detect the interference is the maximum‐a‐posteriori (MAP) one. However, it requires a high computational burden and a complete knowledge of the statistical model, which reduce its feasibility. To overcome these drawbacks this article proposes an interference canceler based on Fuzzy Logic that allows (1) suppressing both analog and digital interferences, and (2) easily controlling the complexity versus performance trade‐off. In other words, the design of the fuzzy canceler follows a down/top strategy; that is, a first low complex design is possible just departing from linguistic information and, in a second stage, we refine it, incorporating the available statistical information into its structure. Finally, to assess the proposed fuzzy canceler we have derived asymptotic performance bounds. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 253–274, 2005.