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This paper considers the problem of knowledge-aided space-time adaptive processing (KA-STAP) combined with a parametric technique. Specifically, by modeling the disturbance as a multichannel autoregressive (AR) process, we introduce a stochastic signal model in which the spatial covariance matrix of the disturbance is assumed to be random, with some prior distribution. Incorporating the a priori knowledge...
Estimation of on–off timing of human skeletal muscles during movement is an ongoing issue in surface electromyography (sEMG) signal processing for relevant clinical applications. Widely used single threshold methods still rely on the experience of the operator to manually establish a threshold level. In this paper, a novel approach to address this issue is presented. Based on the generalized likelihood...
In this paper, we propose a new two-stage Rao test detector, which is obtained by cascading a subspace detector (SD) and the Rao test. A set of secondary data is available and noise returns in primary and secondary data share the same statistical characterization. Analytical expressions for the probability of false alarm (Pfa) and the probability of detection (Pd) are provided in homogeneous environment...
Ultra wide-band (UWB) communication has to face two problems of multi-access interference (MAI) under multiple access scenario and intersymbol interference (ISI) in multipath environment. In this paper, we proposed a blind adaptive multiuser detection algorithm for direct-sequence code division multiple access (DS-CDMA) UWB systems in ISI channel, called two-stage algorithm, which consists of two...
The antenna selection technology is introduced into the existing uplink Alamouti multi-user MIMO detection for a low hardware cost. A selection criterion maximizing the minimum user signal-to-noise-plus-interference-ratio (SINR) is proposed. To avoid the exhaustive search selection, a fast selection algorithm is further proposed that selects an antenna to maximize the minimum user SINR in each stage...
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