Paper Title:
Narrowband Emitter Identification by Exploiting Gaussian Mixture Model
  Abstract

Narrowband emitter identification is used to correctly identify unknown narrowband emitters from the results of direction finding (DF). In this paper, we modeled the set of azimuth angles by a mixture of Gaussian densities, and divided narrowband emitter identification into two different stages. In the first stage, a competitive stop expectation-maximization (CSEM) algorithm was developed, which was based on Shapiro-Wilk test and minimum description length variant (MDL2) criterion. The CSEM only employed the estimated azimuth angles at all the signal-occupied frequency bins as feature parameters, while the frequency information implied in each cluster was not exploited sufficiently. So based on the implied frequency information, a postprocessing algorithm was introduced in the second stage. The experimental results show that the CSEM algorithm is more robust, and it has an increased capability to find the underlying model while maintaining a low execution time. By adopting CSEM and postprocessing algorithm in narrowband emitter identification, we are able to identify narrowband emitters with high correctness.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
503-508
DOI
10.4028/www.scientific.net/AMM.65.503
Citation
Y. Y. Liao, K. X. Jia, Z. S. He, S. F. Deng, "Narrowband Emitter Identification by Exploiting Gaussian Mixture Model", Applied Mechanics and Materials, Vol. 65, pp. 503-508, 2011
Online since
June 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wen Ming Zhang
Chapter 9: Signal & Data Processing Technology and System
Abstract:Spoofing is more malignant to GNSS receiver than noise jamming, both military and civil GNSS users need to detect and avoid spoofing. This...
1206
Authors: Jian Qiang Wang, Long Yu, Yu Zhang
Chapter 4: Advanced Applications of Electrical Engineering Development
Abstract:Rapid detecting structural damage by lamb wave is an emerging technology in the field of structural health monitoring, and damage signal...
121
Authors: Andrey Pogrebnoy, Alexander Pogrebnoy
Chapter 7: Information Technology, Data and Signal Processing
Abstract:Distributed systems containing hundreds or thousands of objects, are generally constructed in the form of hierarchical structures. In these...
952