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• W2912543462 abstract "The problem of this study was to experimentally evaluate the limitations of high resolution direction-finding and signal detection algorithms in both narrowband and wideband array signal processing. Methods of overcoming some of the limitations through calibration were also developed. The results of this thesis compliment theoretical and simulation-based evaluations of the performances of high resolution algorithms. It is expected that work such as reported here will bring many of the proposed algorithms closer to implementation in real world applications. For the most part no systematic experimental evaluation of the capabilities and limitations of these methods have been reported in the open literature previously. This is due to the difficulties and the expense of constructing and maintaining radar or sonar type arrays at universities.A low cost, and compact array testbed was built at the University of Minnesota for testing direction-finding, signal detection, and beamforming algorithms under non-ideal conditions. The array testbed basically consists of one or more ultrasonic transmitting transducers and a linear array of eight receiver elements operating in air. Data collected from this array is the source of all the experimental data in this study. Computer simulated data is also used for comparison and to specifically model and isolate certain non-idealities to better understand their limiting effects on the algorithms.In sensor array processing, high resolution eigen-based direction-finding algorithms are known to be sensitive to sensor gain, phase, and mutual coupling errors. In order to approach the algorithms' theoretical direction-finding performance in actual arrays, methods are required to measure these errors and compensate for them. This paper develops calibration procedures based on least squares fitting of estimated direction vectors. After calibration any appropriate direction-finding algorithm may be applied. Experimental results are presented, which compare the performance of several well known algorithms, including AIC, MDL, MLM, MUSIC, ROOT-MUSIC, MIN-NORM, ESPRIT, WMUSIC, stochastic ML, conditional ML, and MAP. After calibration, the performances of direction-finding algorithms approach those based on computer simulations under ideal conditions. But the signal detection algorithms AIC and MDL were seen to be very sensitive to non-idealities in the array." @default.
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• W2912543462 modified "2023-10-12" @default.
• W2912543462 title "Sensor array calibration methods and a comparison of direction-finding algorithms using an experimental array" @default.
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