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https://hdl.handle.net/10356/97253
Title: | A multi-resolution filter bank and fuzzy logic based channel edge detector for military wideband radio receivers | Authors: | Sumedh, Dhabu Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2012 | Source: | Sumedh, D., Smitha, K. G., & Vinod, A. P. (2012). A multi-resolution filter bank and fuzzy logic based channel edge detector for military wideband radio receivers. 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC). | Conference: | IEEE International Conference on Signal Processing, Communications and Computing (2012 : Hong Kong) | Abstract: | In a typical multi-standard military radio receiver, the radio channels (frequency bands) of interest have time varying bandwidth and locations in the wideband signal. Thus the receiver needs to detect the desired channels from the wideband input signal, which involves determining bandwidths of the channels and their locations (center frequencies) within the wideband signal. In this paper we propose a multi-resolution filter bank based spectrum sensor and a fuzzy logic based algorithm for channel edge detection in the wideband signal. For the same sensing resolution, the proposed edge detector has low complexity compared to other methods available in literature. The error in channel edge detection is reduced using fuzzy logic based algorithm. Simulation results show that our method offers an average channel edge detection accuracy of 99%. | URI: | https://hdl.handle.net/10356/97253 http://hdl.handle.net/10220/12090 |
DOI: | 10.1109/ICSPCC.2012.6335658 | Schools: | School of Computer Engineering | Rights: | © 2012 IEEE. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Conference Papers |
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