The objective of this paper is to determine the potentialities of an optimal detection scheme within the framework of subscriber location. Using a Generalized Likelihood Ratio Test (GLRT), an improved first arriving path detector from propagation channel estimates is derived. Furthermore, an expression for false alarm probability is provided and detector performance is evaluated for different c...

The problem of detecting a signal known except for amplitude in nonGaussian noise is addressed. The noise samples are assumed to be independent and identically distributed with a probability density function known except for a few parameters. Using a generalized likelihood ratio test it is proven that for a symmetric noise probability density function the detection performance is asymptotically...

Abstract We consider a composite hypotheses detection problem involving a subspace and an energy level, and we show that for this problem the matched subspace detector is uniformly most powerful and the generalized likelihood ratio detector. We present a generalization of the matched subspace detector and time-frequency methods for the formulation and design of subspace detectors. Finally, we a...

Bit-interleaved coded modulation with iterative detection for MIMO systems demands an efficient APP detector that delivers soft information about the coded bits. The list-sequential detector is a reduced-complexity approximation to an exhaustive APP detector. It uses a tree search employing the stack algorithm to find dominant terms of the log-likelihood ratio (LLR). We show how incomplete tree...

Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solution for the joint data-channel estimation in fast fading channels, we propose a new reducedcomplexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique. We show that the particle detector offers a better trade-off between performance and computational complexity, compared...

Cognitive radio is an autonomous transceiver that is continuously sensing the ongoing communication in its environment, it then starts the communication whenever it is appropriate. Therefore, cognitive radio helps improving the spectrum utilization of the overall communication system. However, without suitable spectrum sensing techniques, cognitive radio would fail. Hence, in this thesis we inv...

We present a Bayesian analysis of the evaluation of speaker detection performance. We use expectation of utility to confirm that likelihood-ratio is both an optimum and application-independent form of output for speaker detection systems. We point out that the problem of likelihood-ratio calculation is equivalent to the problem of optimization of decision thresholds. It is shown that the decisi...

Detecting random processes on a circle has been studied for many decades. The Neyman-Pearson detector, which evaluates the likelihood ratio, requires first conditional mean estimate of circle-valued signal given noisy measurements, is then correlated with measurements detection. This estimator-correlator detector. However, generating very rarely solvable. In this paper, we propose an approximat...