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Nonparametric belief propagation (NBP) algorithm is a popular probabilistic localization method in wireless sensor networks. It is particle-based and can be applied in nonlinear and non-Gaussian inference problems. However, NBP has practical limitations in dense networks due to the high computational complexity and network traffic resulting from the ranging and information exchanges with neighboring...
A new probabilistic data association (PDA) approach is proposed for symbol detection in spatial multiplexing multiple-input multiple-output (MIMO) systems. By designing a joint detection (JD) structure for consecutive symbol vectors in the same transmit burst, more a priori information is exploited when updating the estimated posterior marginal probabilities for each symbol per iteration. Therefore...
In this paper, a novel scheme is developed for chip-level timing in UWB communications. To accomplish the proposed algorithm, the time hopping (TH) code is transformed to the spread time hopping (STH) code firstly, without changing ideas of UWB modulation. Invoking the cyclic autocorrelation of STH code, the timing parameter is acquired without training sequence. Desirable performance is brought out...
This paper proposes a transmit power allocation (TPA) scheme based on multiple-input multiple-output (MIMO) Tomlinson-Harashima preceding (THP) structure, where a TPA matrix is introduced to the conventional MIMO-THP. We analyze the influence of the introduced TPA matrix on the performance of MIMO-THP. The proposed TPA scheme invokes the minimum average uncoded bit-error rate (BER) criterion subjected...
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