De-noising by wiener filter and wavelet based methods for emitter localization systems

Author

Pourhomayoun, Mohammad ; Fowler, Mark L.

Author_Institution

Dept. of Electr. & Comput. Eng., Binghamton Univ., Binghamton, NY, USA

fYear

2012

fDate

21-23 March 2012

Firstpage

1

Lastpage

4

Abstract

The Cross Ambiguity Function (CAF) used in signal location estimation is a 2-dimensional complex-valued function of TDOA and FDOA. In TDOA/FDOA systems, pairs of sensors share data to compute the CAF. In practice, the received signals are noisy and this noise perturbs the CAF from its ideal shape which is a big main lobe and some small side lobes. At low SNRs, the CAF main lobe is buried in the noise and the location estimation accuracy is poor. In this paper, by exploiting some of the CAF properties, we de-noise the CAF itself to increase the estimation performance. We use Wiener filter and wavelet based methods for de-noising. The impact of such de-noising methods on the overall location accuracy is assessed via simulations.

Keywords

Wiener filters; direction-of-arrival estimation; signal denoising; time-of-arrival estimation; wavelet transforms; CAF; TDOA-FDOA systems; Wiener filter; cross ambiguity function; emitter localization systems; frequency difference-of-arrival estimation; low SNR; signal denoising method; signal location estimation; small side lobes; time difference-of-arrival estimation; two-dimensional complex-valued function; wavelet based methods; Data compression; Estimation; Noise; Noise measurement; Sensors; Wiener filters; Ambiguity Function (CAF); FDOA (Frequency Difference of Arrival); TDOA (Time Difference of Arrival); Wavelet Transform; Wiener Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Sciences and Systems (CISS), 2012 46th Annual Conference on

Conference_Location

Princeton, NJ

Print_ISBN

978-1-4673-3139-5

Electronic_ISBN

978-1-4673-3138-8

Type

conf

DOI

10.1109/CISS.2012.6310705

Filename

6310705