Performance Analysis of the Wavelet-Based Generalized Sidelobe Canceller in the Presence of Random Steering Errors
Summary :
In this paper, we examine the effect of random steering errors on the signal-to-interference-plus-noise-ratio (SINR) at the output of the recently addressed wavelet-based generalized sidelobe canceller (GSC). This new beamformer employs a set of P-regular M-band wavelet bases for the design of the blocking matrix of the GSC. We first carry out a general expression of the output SINR of the GSC with multiple interferers present. With this expression, we then examine the analysis of wavelet-based GSC by expressing the SINR in terms of parameters such as the regularity of wavelet filters, the number of bands of wavelet filters, the length of adaptive weights, and the input signal-to-noise ratio (SNR). Some simulation results verify the analytically predicted performance.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E87-B No.9 pp.2783-2790
- Publication Date
- 2004/09/01
- Publicized
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- Type of Manuscript
- PAPER
- Category
- Antennas and Propagation
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Yi CHU, "Performance Analysis of the Wavelet-Based Generalized Sidelobe Canceller in the Presence of Random Steering Errors" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 9, pp. 2783-2790, September 2004, doi: .
Abstract: In this paper, we examine the effect of random steering errors on the signal-to-interference-plus-noise-ratio (SINR) at the output of the recently addressed wavelet-based generalized sidelobe canceller (GSC). This new beamformer employs a set of P-regular M-band wavelet bases for the design of the blocking matrix of the GSC. We first carry out a general expression of the output SINR of the GSC with multiple interferers present. With this expression, we then examine the analysis of wavelet-based GSC by expressing the SINR in terms of parameters such as the regularity of wavelet filters, the number of bands of wavelet filters, the length of adaptive weights, and the input signal-to-noise ratio (SNR). Some simulation results verify the analytically predicted performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_9_2783/_p
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@ARTICLE{e87-b_9_2783,
author={Yi CHU, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis of the Wavelet-Based Generalized Sidelobe Canceller in the Presence of Random Steering Errors},
year={2004},
volume={E87-B},
number={9},
pages={2783-2790},
abstract={In this paper, we examine the effect of random steering errors on the signal-to-interference-plus-noise-ratio (SINR) at the output of the recently addressed wavelet-based generalized sidelobe canceller (GSC). This new beamformer employs a set of P-regular M-band wavelet bases for the design of the blocking matrix of the GSC. We first carry out a general expression of the output SINR of the GSC with multiple interferers present. With this expression, we then examine the analysis of wavelet-based GSC by expressing the SINR in terms of parameters such as the regularity of wavelet filters, the number of bands of wavelet filters, the length of adaptive weights, and the input signal-to-noise ratio (SNR). Some simulation results verify the analytically predicted performance.},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - Performance Analysis of the Wavelet-Based Generalized Sidelobe Canceller in the Presence of Random Steering Errors
T2 - IEICE TRANSACTIONS on Communications
SP - 2783
EP - 2790
AU - Yi CHU
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2004
AB - In this paper, we examine the effect of random steering errors on the signal-to-interference-plus-noise-ratio (SINR) at the output of the recently addressed wavelet-based generalized sidelobe canceller (GSC). This new beamformer employs a set of P-regular M-band wavelet bases for the design of the blocking matrix of the GSC. We first carry out a general expression of the output SINR of the GSC with multiple interferers present. With this expression, we then examine the analysis of wavelet-based GSC by expressing the SINR in terms of parameters such as the regularity of wavelet filters, the number of bands of wavelet filters, the length of adaptive weights, and the input signal-to-noise ratio (SNR). Some simulation results verify the analytically predicted performance.
ER -
English
