EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
Impact of WiMAX interference on MB-OFDM UWB systems: analysis and mitigation
IEEE Transactions on Communications
Channel estimation in OFDM systems with unknown interference
IEEE Transactions on Wireless Communications
An EM-based frequency offset estimator for OFDM systems with unknown interference
IEEE Transactions on Wireless Communications
Blind detection of wideband interference for cognitive radio applications
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Iterative data detection for OFDM systems with unknown narrowband interference
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Spectrum sensing using hidden Markov modeling
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Uplink synchronization in OFDMA spectrum-sharing systems
IEEE Transactions on Signal Processing
Frame detection and timing acquisition for OFDM transmissions with unknown interference
IEEE Transactions on Wireless Communications
Robust Lp-norm decoding for BICM-based secondary user systems
IEEE Transactions on Communications
EM-based noise plus interference estimation for OFDM-based cognitive radio systems
Wireless Communications & Mobile Computing
Wireless Personal Communications: An International Journal
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Cognitive radio technology facilitates spectrum reuse and alleviates spectrum crunch. One fundamental problem in cognitive radio is to avoid the interference caused by other communication systems sharing the same frequency band. However, spectrum sensing cannot guarantee accurate detection of the interference in many practical situations. Hence, it is crucial to design robust receivers to combat the in-band interference. In this paper, we first present a simple pilot aided interference detection method. To combat the residual interference that cannot be detected by the interference detector, we further propose a robust joint interference detection and decoding scheme. By exploiting the code structure in interference detection, the proposed scheme can successfully detect most of the interfered symbols without requiring the knowledge of the interference distribution. Our simulation results show that, even without any prior knowledge of the interference distribution, the proposed joint interference detection and decoding scheme is able to achieve a performance close to that of the maximum likelihood decoder with the full knowledge of the interference distribution