Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Multiuser Detection
Microwave Mobile Communications
Microwave Mobile Communications
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
A comparison of pilot-aided channel estimation methods for OFDMsystems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Performance of adaptive MC-CDMA detectors in rapidly fading Rayleigh channels
IEEE Transactions on Wireless Communications
Narrowband interference in pilot symbol assisted OFDM systems
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
MMSE detection of multicarrier CDMA
IEEE Journal on Selected Areas in Communications
Receiver window design for multicarrier communication systems
IEEE Journal on Selected Areas in Communications
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In this paper, we present a robust adaptive channel estimator and a robust multiuser detector for wireless multicarrier code-division multiple access (MC---CDMA) systems under narrowband interference (NBI). The conventional least-squares (LS) channel estimator performs poorly when narrowband interfering signals contaminate the multicarrier systems. A new weighted recursive least M-estimate (WRLM) channel estimator is hence developed to estimate multipath fading channels in the presence of NBI. The new robust channel estimator resorts to M-estimate and weighted least-squares (WLS) techniques. Simulations show that the WRLM channel estimator offers substantial performance gain over conventional recursive least-squares (RLS), recursive least M-estimate (RLM) and weighted RLS (WRLS) channel estimators under NBI. With the estimated channel coefficients, a robust multiuser detector is proposed to jointly suppress multiple access interference (MAI) and NBI. The performance of the linear decorrelator will degrade substantially in the presence of NBI. A weighted least M-estimate (WLM) algorithm is therefore developed to combat the NBI. The WLM multiuser detector is also based on the weighted M-estimate concept. Numerical results show that the proposed WLM multiuser detector significantly outperforms over the conventional linear decorrelator, the robust decorrelator with M-estimate and the WLS detector under NBI.