Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods

Churng Jou Tsai; Jar Ferr Yang

doi:10.1109/SSAP.1992.246773

Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods

Churng Jou Tsai, Jar Ferr Yang

Institute of Computer and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.

Original language	English
Title of host publication	1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	370-373
Number of pages	4
ISBN (Electronic)	0780305086, 9780780305083
DOIs	https://doi.org/10.1109/SSAP.1992.246773
Publication status	Published - 1992
Event	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada Duration: 1992 Oct 7 → 1992 Oct 9

Publication series

Name	1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

Conference

Conference	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
Country	Canada
City	Victoria
Period	92-10-07 → 92-10-09

All Science Journal Classification (ASJC) codes

Signal Processing
Statistics and Probability

Access to Document

10.1109/SSAP.1992.246773

Fingerprint Dive into the research topics of 'Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods'. Together they form a unique fingerprint.

Cite this

Tsai, C. J., & Yang, J. F. (1992). Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods. In 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings (pp. 370-373). [246773] (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSAP.1992.246773

Tsai, Churng Jou ; Yang, Jar Ferr. / Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods. 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 370-373 (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings).

@inproceedings{fa9675a932d84fa495409990aeb411ee,

title = "Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods",

abstract = "The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.",

author = "Tsai, {Churng Jou} and Yang, {Jar Ferr}",

note = "Funding Information: This research is supported by the National Science Council under Grand#NSC81-0404-E006-05. ROC; 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 ; Conference date: 07-10-1992 Through 09-10-1992",

year = "1992",

doi = "10.1109/SSAP.1992.246773",

language = "English",

series = "1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "370--373",

booktitle = "1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings",

address = "United States",

}

Tsai, CJ & Yang, JF 1992, Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods. in 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings., 246773, 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 370-373, 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992, Victoria, Canada, 92-10-07. https://doi.org/10.1109/SSAP.1992.246773

Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods. / Tsai, Churng Jou; Yang, Jar Ferr.

1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. p. 370-373 246773 (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods

AU - Tsai, Churng Jou

AU - Yang, Jar Ferr

N1 - Funding Information: This research is supported by the National Science Council under Grand#NSC81-0404-E006-05. ROC

PY - 1992

Y1 - 1992

N2 - The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.

AB - The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84905688374&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905688374&partnerID=8YFLogxK

U2 - 10.1109/SSAP.1992.246773

DO - 10.1109/SSAP.1992.246773

M3 - Conference contribution

AN - SCOPUS:84905688374

T3 - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

SP - 370

EP - 373

BT - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992

Y2 - 7 October 1992 through 9 October 1992

ER -

Tsai CJ, Yang JF. Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods. In 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 1992. p. 370-373. 246773. (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings). https://doi.org/10.1109/SSAP.1992.246773