Sensor Array Processing In Difficult And Non-Idealistic Conditions.
TU Darmstadt, Darmstadt
[Ph.D. Thesis], (2012)
Available under Creative Commons Attribution Non-commercial No Derivatives.
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|Item Type:||Ph.D. Thesis|
|Title:||Sensor Array Processing In Difficult And Non-Idealistic Conditions|
The variety of sensor array processing applications and their practical concerns are the motivations behind the present thesis. The uncertainties in the non-ideal conditions considered in this thesis are: the limited number of available snapshots or low signal power, uncertainties in the sensor array geometry, and the nonavailability of specific temporal or spatial samples. These conditions are taken into account in the estimation process of the following parameters: the direction-of-arrival (DOA) of the signals impinging on the array, the array manifold, and the frequencies and the damping factors of the signal harmonics.
First, to deal with the practical situations of a limited number of snapshots or a low signal power, a method is introduced based on the estimator bank approach combined with detection and cure of erroneous estimates. The proposed technique significantly improves the DOA estimation performance in the scenarios where some sources are closely-spaced.
Next, uncertainties in the array sensor locations are considered. The focus of this part of the study lies on the blind calibration and joint DOA estimation in partly-calibrated arrays. Three types of partly-calibrated array geometries are investigated: the arbitrary partly-calibrated array, the partly-calibrated array composed of multiple identical subarrays, and the pairwise-calibrated array. The novel high-resolution DOA and array manifold estimation techniques proposed for each of these array types demonstrate superior DOA estimation performance in comparison with the state-of-the-art methods.
Lastly, the nonavailability of specific samples in the harmonic retrieval problem, i.e., the problem of estimating the frequencies and the damping factors of a harmonic mixture, is considered. The harmonic retrieval problem can be regarded as the generalization of the DOA estimation problem. In the case of incomplete samples, search-free yet high-resolution techniques are proposed which demonstrate excellent harmonic estimation performance.
|Place of Publication:||Darmstadt|
|Classification DDC:||600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften|
|Divisions:||Fachbereich Elektrotechnik und Informationstechnik
Fachbereich Elektrotechnik und Informationstechnik > Nachrichtentechnische Systeme
|Date Deposited:||02 Mar 2012 09:12|
|Last Modified:||07 Dec 2012 12:04|
|License:||Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0|
|Referees:||Pesavento, Dr.-Ing Marius and Mecklenbräuker, Dr.-Ing Christoph F.|
|Refereed:||18 January 2012|
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