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1993•IEEE International Conference on Acoustics Speech and Signal ProcessingRequires access

Wideband cyclic MUSIC

K.D. Mauck

Open publisher page 14 citations

Abstract

High-resolution direction of arrival (DOA) estimates of cyclostationary signals in an environment with many more interferers than sensors is made possible using techniques like cyclic multiple signal classification (MUSIC) and variants. However, these techniques are only valid for narrowband signals. While signal-selective time difference of arrival (TDOA) estimation techniques for wideband cyclostationary signals have been proposed, these techniques cannot resolve closely spaced signals. The author presents a new high resolution, signal-selective DOA estimation algorithm called wideband cyclic MUSIC that is effective against multiple wideband cyclostationary signals in interference. This algorithm is compared with other DOA estimation approaches and stimulation results are presented to illustrate its performance.>

About this research paper

What this paper is about

High-resolution direction of arrival (DOA) estimates of cyclostationary signals in an environment with many more interferers than sensors is made possible using techniques like cyclic multiple signal classification (MUSIC) and variants. However, these techniques are only valid for narrowband signals. While signal-selective time difference of arrival (TDOA) estimation techniques for wideband cyclostationary signals have been proposed, these techniques cannot resolve closely spaced signals. The author presents a new high resolution, signal-selective DOA estimation algorithm called wideband cyclic MUSIC that is effective against multiple wideband cyclostationary signals in interference. This algorithm is compared with other DOA estimation approaches and stimulation results are presented to illustrate its performance.>

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

High-resolution direction of arrival (DOA) estimates of cyclostationary signals in an environment with many more interferers than sensors is made possible using techniques like cyclic multiple signal classification (MUSIC) and variants. However, these techniques are only valid for narrowband signals. While signal-selective time difference of arrival (TDOA) estimation techniques for wideband cyclostationary signals have been proposed, these techniques cannot resolve closely spaced signals. The author presents a new high resolution, signal-selective DOA estimation algorithm called wideband cyclic MUSIC that is effective against multiple wideband cyclostationary signals in interference. This algorithm is compared with other DOA estimation approaches and stimulation results are presented to illustrate its performance.>

Key concepts: Cyclostationary process, Wideband, Narrowband, Computer science, Direction of arrival, SIGNAL (programming language), Speech recognition, Multiple signal classification

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