Mikalai Kisialiou

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Existing approaches to the Maximum-Likelihood (ML) detection problem in digital communications either suffer from exponential complexity (e.g. Sphere Decoder and its variants) or exhibit significant Bit-Error-Rate (BER) degradation (e.g. LMMSE Detector). In this paper we present an efficient implementation of a semi-definite relaxation-based detector (SDR(More)
Despite its optimal bit-error-rate (BER) performance, the maximum likelihood (ML) detection is known to be NP-hard and suffers from high computational complexity. The currently popular suboptimal detectors either achieve a polynomial time complexity at the expense of BER performance degradation (e.g., MMSE Detector), or offer a near ML performance with a(More)
Two efficient list-based 'soft' demodulators are developed for iterative receivers in multiple-input multiple-output (MIMO) communication systems with QPSK signalling. The proposed demodulators are based on the semidefinite relaxation (SDR) technique, and hence their computational costs are bounded by a low-order polynomial of the number of bits transmitted(More)
—Two efficient list-based " soft "-output demodu-lators are developed for iterative receivers in multiple-input multiple-output (MIMO) communication systems with QPSK sig-naling. The proposed demodulators are based on the semidefinite relaxation (SDR) technique, and hence their computational costs are bounded by a low-order polynomial of the number of bits(More)
We study the role of information feedback for the problem of distributed signal tracking/estimation using a sensor network with a fusion center. Assuming that the fusion center has sufficient energy to reliably feed back its intermediate estimates, we show that the sensors can substantially reduce their power consumption by using the feedback information in(More)
— Blind signal detection in multiuser CDMA system is particularly attractive when only the desired user signature is known to a given receiver. A problem common to several existing blind multiuser CDMA detectors is that the detection performance is very sensitive to the Signature Waveform Mismatch (SWM) which may be caused by channel distortion. In this(More)
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