Estimation of radar signals using passive sensor network

Author

Alphonse, Sebastian ; Williamson, Geoffrey A.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA

fYear

2015

fDate

10-15 May 2015

Firstpage

1525

Lastpage

1530

Abstract

The problem of signal estimation in radar using passive receiver networks is addressed. A new method for estimating the radar signal is proposed, based on augmenting the set of signals received at the sensors with a signal chosen from among one of several appropriate signal classes. The choice within each signal class is optimized by maximizing the principal component of the augmented signal matrix, and the best among the signal classes selected as the final estimate. This approach is compared with the signal estimate obtained through unconstrained principal component analysis of the signal matrix. Simulations are presented that demonstrate improved performance using the proposed method and that show good estimates of the signal with signal to noise ratios as low as -20dB.

Keywords

array signal processing; estimation theory; optimisation; principal component analysis; radar signal processing; sensor arrays; signal classification; augmented signal matrix; passive receiver networks; passive sensor network; principal component analysis; radar signals; signal classes; signal estimation; signal to noise ratios; Correlation; Delays; Estimation; Radar countermeasures; Receivers; Signal to noise ratio; Low Probability of Intercept; Radar; centralized processing; principal component; signal estimation; svd;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RadarCon), 2015 IEEE

Conference_Location

Arlington, VA

Print_ISBN

978-1-4799-8231-8

Type

conf

DOI

10.1109/RADAR.2015.7131238

Filename

7131238