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Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
(IEEE, 2016)
Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
EM based Stochastic maximum likelihood approach for localization of near-field sources in 3-D
(Walter De Gruyter Gmbh, 2004)
The goal of this paper is to estimate the locations of unknown sources in 3-D space from the data collected by a 2-D rectangular array. Various studies employing different estimation methods under near-field and far-field ...
Support vector regression for surveillance purposes
(Springer-Verlag Berlin, 2006)
This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ...
Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis
(Springer, 2015)
Due to the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential to ...
The Effect of Channel Models on Compressed Sensing Based UWB Channel Estimation
(IEEE, 2011)
Ultra-wideband (UWB) multipath channels are assumed to have a sparse structure as the received consecutive pulses arrive with a considerable time delay and can be resolved individually at the receiver. Due to this sparse ...
Iterative Receiver for DS-CDMA Systems in the Presence of Time-Varying Channels
(IEEE, 2008)
In this paper we present an efficient iterative receiver structure of tractable complexity for joint multiuser detection and multichannel estimation (JDE) of direct-sequence code-division multiple-access systems operating ...
An efficient joint channel estimation and decoding algorithm for turbo-coded space-time orthogonal frequency division multiplexing receivers
(Inst Engineering Technology-IET, 2008)
The challenging problem in the design of digital receivers of today's and future high-speed high data-rate wireless communication systems is to implement the optimal decoding and channel estimation processes jointly in a ...
MAP channel-estimation-based PIC receiver for downlink MC-CDMA systems
(Hindawi Publishing Corporation, 2008)
We propose a joint MAP channel estimation and data detection technique based on the expectation maximization (EM) method with paralel interference cancelation (PIC) for downlink multicarrier (MC) code division multiple ...
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
(IEEE, 2004)
Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...
Iterative channel estimation techniques for uplink MC-CDMA systems
(IEEE, 2007)
In this work maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- ...