Directions-of-Arrival Tracking of Coherent Cyclostationary Signals in Array Processing

Jingmin XIN; Akira SANO

Directions-of-Arrival Tracking of Coherent Cyclostationary Signals in Array Processing

Jingmin XIN, Akira SANO

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In this paper, we consider the problem of estimating the time-varying directions-of-arrival (DOAs) of coherent narrowband cyclostationary signals impinging on a uniform linear array (ULA). By exploiting the cyclostationarity of most communication signals, we investigate a new computationally efficient subspace-based direction estimation method without eigendecomposition and spatial smoothing (SS) processes. The proposed method uses the inherently temporal property of incident signals and a subarray scheme to decorrelate the signal coherency and to suppress the noise and interfering signals, while the null subspace is obtained from the resulting cyclic correlation matrix through a linear operation. Then an on-line implementation of this method is presented for tracking the DOAs of slowly moving coherent signals. The proposed algorithm is computationally simple and has a good tracking performance. The effectiveness of the proposed method is verified through numerical examples.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.8 pp.2037-2046

Publication Date: 2003/08/01

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Type of Manuscript: Special Section PAPER (Special Section on Digital Signal Processing)

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Jingmin XIN, Akira SANO, "Directions-of-Arrival Tracking of Coherent Cyclostationary Signals in Array Processing" in IEICE TRANSACTIONS on Fundamentals, vol. E86-A, no. 8, pp. 2037-2046, August 2003, doi: .
Abstract: In this paper, we consider the problem of estimating the time-varying directions-of-arrival (DOAs) of coherent narrowband cyclostationary signals impinging on a uniform linear array (ULA). By exploiting the cyclostationarity of most communication signals, we investigate a new computationally efficient subspace-based direction estimation method without eigendecomposition and spatial smoothing (SS) processes. The proposed method uses the inherently temporal property of incident signals and a subarray scheme to decorrelate the signal coherency and to suppress the noise and interfering signals, while the null subspace is obtained from the resulting cyclic correlation matrix through a linear operation. Then an on-line implementation of this method is presented for tracking the DOAs of slowly moving coherent signals. The proposed algorithm is computationally simple and has a good tracking performance. The effectiveness of the proposed method is verified through numerical examples.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e86-a_8_2037/_p

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@ARTICLE{e86-a_8_2037,
author={Jingmin XIN, Akira SANO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Directions-of-Arrival Tracking of Coherent Cyclostationary Signals in Array Processing},
year={2003},
volume={E86-A},
number={8},
pages={2037-2046},
abstract={In this paper, we consider the problem of estimating the time-varying directions-of-arrival (DOAs) of coherent narrowband cyclostationary signals impinging on a uniform linear array (ULA). By exploiting the cyclostationarity of most communication signals, we investigate a new computationally efficient subspace-based direction estimation method without eigendecomposition and spatial smoothing (SS) processes. The proposed method uses the inherently temporal property of incident signals and a subarray scheme to decorrelate the signal coherency and to suppress the noise and interfering signals, while the null subspace is obtained from the resulting cyclic correlation matrix through a linear operation. Then an on-line implementation of this method is presented for tracking the DOAs of slowly moving coherent signals. The proposed algorithm is computationally simple and has a good tracking performance. The effectiveness of the proposed method is verified through numerical examples.},
keywords={},
doi={},
ISSN={},
month={August},}

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TY - JOUR
TI - Directions-of-Arrival Tracking of Coherent Cyclostationary Signals in Array Processing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2037
EP - 2046
AU - Jingmin XIN
AU - Akira SANO
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2003
AB - In this paper, we consider the problem of estimating the time-varying directions-of-arrival (DOAs) of coherent narrowband cyclostationary signals impinging on a uniform linear array (ULA). By exploiting the cyclostationarity of most communication signals, we investigate a new computationally efficient subspace-based direction estimation method without eigendecomposition and spatial smoothing (SS) processes. The proposed method uses the inherently temporal property of incident signals and a subarray scheme to decorrelate the signal coherency and to suppress the noise and interfering signals, while the null subspace is obtained from the resulting cyclic correlation matrix through a linear operation. Then an on-line implementation of this method is presented for tracking the DOAs of slowly moving coherent signals. The proposed algorithm is computationally simple and has a good tracking performance. The effectiveness of the proposed method is verified through numerical examples.
ER -