Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCOMM.2008.060170
Title: ML-based follower jamming rejection in slow FH/MFSK systems with an antenna array
Authors: Ko, C.C. 
Nguyen-Le, H.
Huang, L.
Keywords: Antenna array
Frequency hopping (FH)
Interference cancellation
Maximum likelihood (ML)
Partial-band jammer
Quasi-static flat fading
Spatial-correlation
Issue Date: 2008
Source: Ko, C.C., Nguyen-Le, H., Huang, L. (2008). ML-based follower jamming rejection in slow FH/MFSK systems with an antenna array. IEEE Transactions on Communications 56 (9) : 1536-1544. ScholarBank@NUS Repository. https://doi.org/10.1109/TCOMM.2008.060170
Abstract: The jamming robustness of frequency hopping (FH) systems with M-ary frequency shift keying (MFSK) modulation may be potentially neutralized by a follower partial-band jammer. In this paper, a maximum likelihood (ML)-based algorithm that uses a two-element array is proposed for joint follower jamming rejection and symbol detection in slow FH/MFSK systems over quasi-static flat Rayleigh fading channels. The algorithm is derived by treating both the received jamming components and the unknown data symbols as deterministic quantities to be jointly estimated in an integrated ML operation. In addition, an approximate expression for the symbol error rate (SER) of the proposed scheme is derived when BFSK signaling is employed in a jamming dominant scenario. Analytical and simulated results show that the proposed approach is able to remove jamming and outperform the conventional and sample matrix inversion (SMI)-based beam-formers in the presence of a follower partial-band jammer. © 2008 IEEE.
Source Title: IEEE Transactions on Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/56646
ISSN: 00906778
DOI: 10.1109/TCOMM.2008.060170
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

12
checked on Dec 11, 2017

WEB OF SCIENCETM
Citations

8
checked on Dec 11, 2017

Page view(s)

28
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.