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—In this paper, we propose a near maximum likelihood (ML) scheme for the decoding of multiple-input–multiple-output (MIMO) systems. By employing the metric-first search method, Schnorr–Euchner enumeration, and branch-length thresholds in a single frame systematically, the proposed technique provides efficiency that is higher than those of other conventional(More)
A detection scheme of spectrum sensing is discussed for cognitive radio with multiple receive antennas operating over a wideband channel composed of a multitude of sub bands. By taking the observations in all sub bands into consideration in the likelihood ratio test for sensing a sub band, the proposed scheme can provide better performance than other(More)
In this paper, we propose a novel detection scheme of spectrum sensing for cognitive radio with multiple receive antennas operating over a wideband channel composed of a multitude of subbands. By taking the observations in all subbands into consideration in the likelihood ratio test for sensing a subband, the proposed scheme can provide better performance(More)
In this paper, employing the generalized likelihood ratio test detector on each antenna branch and exploiting nonlinear diversity combining strategies, we propose a class of spectrum sensing schemes for cognitive radio with receive diversity. The performance characteristics of the proposed scheme are analyzed in comparison with those of the conventional(More)
—We address detection schemes of spectrum sensing for cognitive radio with multiple receive antennas operating over a wideband channel composed of a multitude of subbands. By taking the observations in all subbands into consideration in the likelihood functions for sensing a subband, the test statistics of the proposed schemes are functions of the sample(More)
A novel code acquisition scheme is proposed for the acquisition in time of spread spectrum codes in the presence of fractional Doppler frequency offset (FDFO). In the proposed acquisition scheme, the decision variable for detection is formed by combining two consecutive correlator outputs so that the influence of the reduction in the correlation peak due to(More)
A pattern recognition (PR) system is addressed for nonintrusive appliance load monitoring. For the effective recognition of two home appliances (specifically, an electric iron and a cook top), we consider a novel feature extraction method employing higher order moments of power signals from the appliances. Through simulation results, we have confirmed that(More)
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