Minimum bias spatial filters for beamspace direction-of-arrival estimation.

Spatial filtering is used in array signal processing to favor signals coming from a particular zone in space over other signals. In this paper, we propose the use of the minimum bias (MB) windows, originally devised for multitaper spectral analysis, as spatial preproeessing filters for direction-of-arrival (DOA) estimation. These windows (or tapers) are characterized by their orthonormality, simplicity, and most importantly their close behavior to the well known discrete prolate spheroidal sequence (DPSS) windows. A desired spatial bandwidth can be achieved by adding or removing tapers, without the need of reeomputation. The paper introduces the MB tapers for beamspace processing and compares their DOA estimation performance, using noise-subspace eignestructure methods, to that of the DPSS beams. Further, the MB windows can be well approximated by simple trigonometric functions. These functions have expressions identical to that of the Discrete Sinusoidal Transform (DST). As numerous methods f or fast computations of DST have been devised, the outputs of the approximated MB tapers can be computed efficiently.

Main Author: Amin, Moeness G.
Other Authors: Bhalla, Nitin.
Language: English
Published: 1998
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173432
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dc_source_str_mv J. Franklin Inst. Vol. 335B, No. 1, pp. 35-52, 1998.
author Amin, Moeness G.
author_s Amin, Moeness G.
spellingShingle Amin, Moeness G.
Minimum bias spatial filters for beamspace direction-of-arrival estimation.
author-letter Amin, Moeness G.
author_sort_str Amin, Moeness G.
author2 Bhalla, Nitin.
author2Str Bhalla, Nitin.
dc_title_str Minimum bias spatial filters for beamspace direction-of-arrival estimation.
title Minimum bias spatial filters for beamspace direction-of-arrival estimation.
title_short Minimum bias spatial filters for beamspace direction-of-arrival estimation.
title_full Minimum bias spatial filters for beamspace direction-of-arrival estimation.
title_fullStr Minimum bias spatial filters for beamspace direction-of-arrival estimation.
title_full_unstemmed Minimum bias spatial filters for beamspace direction-of-arrival estimation.
collection_title_sort_str minimum bias spatial filters for beamspace direction-of-arrival estimation.
title_sort minimum bias spatial filters for beamspace direction-of-arrival estimation.
description Spatial filtering is used in array signal processing to favor signals coming from a particular zone in space over other signals. In this paper, we propose the use of the minimum bias (MB) windows, originally devised for multitaper spectral analysis, as spatial preproeessing filters for direction-of-arrival (DOA) estimation. These windows (or tapers) are characterized by their orthonormality, simplicity, and most importantly their close behavior to the well known discrete prolate spheroidal sequence (DPSS) windows. A desired spatial bandwidth can be achieved by adding or removing tapers, without the need of reeomputation. The paper introduces the MB tapers for beamspace processing and compares their DOA estimation performance, using noise-subspace eignestructure methods, to that of the DPSS beams. Further, the MB windows can be well approximated by simple trigonometric functions. These functions have expressions identical to that of the Discrete Sinusoidal Transform (DST). As numerous methods f or fast computations of DST have been devised, the outputs of the approximated MB tapers can be computed efficiently.
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fgs.label Minimum bias spatial filters for beamspace direction-of-arrival estimation.
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dc.title Minimum bias spatial filters for beamspace direction-of-arrival estimation.
dc.creator Amin, Moeness G.
Bhalla, Nitin.
dc.description Spatial filtering is used in array signal processing to favor signals coming from a particular zone in space over other signals. In this paper, we propose the use of the minimum bias (MB) windows, originally devised for multitaper spectral analysis, as spatial preproeessing filters for direction-of-arrival (DOA) estimation. These windows (or tapers) are characterized by their orthonormality, simplicity, and most importantly their close behavior to the well known discrete prolate spheroidal sequence (DPSS) windows. A desired spatial bandwidth can be achieved by adding or removing tapers, without the need of reeomputation. The paper introduces the MB tapers for beamspace processing and compares their DOA estimation performance, using noise-subspace eignestructure methods, to that of the DPSS beams. Further, the MB windows can be well approximated by simple trigonometric functions. These functions have expressions identical to that of the Discrete Sinusoidal Transform (DST). As numerous methods f or fast computations of DST have been devised, the outputs of the approximated MB tapers can be computed efficiently.
dc.date 1998
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dc.source J. Franklin Inst. Vol. 335B, No. 1, pp. 35-52, 1998.
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