An Effective CS-BP Algorithm for 2-D DOA Estimation

Yu Yan An; Sen Sen Bai

doi:10.4028/www.scientific.net/AMM.128-129.62

Paper Titles

Adaptive Fuzzy Velocity-Based Routing for MANET
p.46

Adaptive Sliding Mode Controller Design for a Nonlinear Inverted Pendulum with Unknown Physical Parameters and its Experiment
p.50

Algorithm Research of Cutter Location Path for Five-Axis NC Machining Based on Equal-Parametric
p.54

Algorithm Study of Face Recognition on Improved 2DLDA
p.58

An Effective CS-BP Algorithm for 2-D DOA Estimation
p.62

An Improved DV-Hop Algorithm Based on Entropy for WSN
p.66

An Improved Method of Mathematical Model on Current Controlled Magnetic Levitation Ball System
p.70

An Intelligent Atrial Fibrillation Wireless Monitoring System Based on Nonlinear Bind Source Extraction Algorithm
p.74

Analysis and Sensitivity Evaluation of AE Signals and Vibration Signals for Fault Diagnosis of Low-Speed Rotating Machinery
p.79

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129An Effective CS-BP Algorithm for 2-D DOA...

An Effective CS-BP Algorithm for 2-D DOA Estimation

Abstract:

The bandwidth of the direction of arrival (DOA) estimation requires high sampling rate which extends the current analog to digital converter capacity. The paper presents an effective basis pursuit (BP) algorithm based on compressive sensing (CS) signals, which is called CS-BP algorithm, for two-dimensional (2-D) DOA estimation of Linear Frequency Modulation (LFM ). The simulation results verified that the method can effectively reduce the sampling data, and improve DOA estimation performance and efficiency.

You might also be interested in these eBooks

Measuring Technology and Mechatronics Automation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

62-65

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.62

Citation:

Cite this paper

Online since:

October 2011

Authors:

Yu Yan An, Sen Sen Bai

Keywords:

2-D DOA Estimation, Compressive Sensing (CS), Linear Frequency Modulation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] P. Luo, K. Liu, W. Shi, G. Yan, 2-D DOA estimation for Wideband LFM signals for arbitrary planar array ICSP 2010 Proceedings , Jan. (2010).

DOI: 10.1109/icosp.2010.5656080

Google Scholar

[2] J. Wang, X. Lv, Z. Yin, Parameter estimation of wideband LFM signals based on MP decompositon, Chinese Journal of Radio Science, Vol. 22, No. 6, Dec. (2007).

Google Scholar

[3] David Donoho, Compressive Sensing, IEEE Trans on Information Theory, Vol. 52, no. 4 , pp.1289-1306, April. (2006).

Google Scholar

[4] E. Candes,J. Romberg,T. Tao , Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Trans on Information Theory, Vol. 52, no. 2, pp.489-509, (2006).

DOI: 10.1109/tit.2005.862083

Google Scholar

[5] E. Candes,T. Tao, Stable signal recovery from incomplete and inaccurate measurements, Comm. Pure. Appl. Math, Vol. 59, no. 8, pp.1207-1223, (2006).

DOI: 10.1002/cpa.20124

Google Scholar

[6] W. Z Cheng,J. Y Wang,Z. K Yin, et al. New DOA estimation method, Application Research of Computers, Vol 26, no. 10, pp.3951-3956, 2009. (in Chinese).

Google Scholar

[7] B. Liu, P Fu, Parameter estimation of LFM signal with narrawband jamming based on CS, 2010 First International Conference on Pervasive Computing, Signal Processing and Applications, pp.487-490, (2010).

DOI: 10.1109/pcspa.2010.123

Google Scholar