Model order identification and parameters estimation using array processings for small sample support

Yu Rong, Alphonso A. Samuel, Daniel Bliss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a sequential algorithm for determining the number of narrow band source signals, and estimation of the parameters associated with the signal (angles and powers) and of the receiver noise power using the noisy sample observed at the receiver sensor arrays. Previous parameter estimates (or initial estimates) are refined multiple times in our sequential approach and also the Newton-based refinement gives continuous-valued estimates so the estimation performance is not limited to the grid resolution. By benchmarking against the Cramer Rao Lower Bound (CRLB), the estimation performance for all parameters of the proposed algorithm achieves near optimal performance even in the low SNR and small sample support region, in which, the sample size can be smaller than the number of sensors in the array. At the same time, the detection (or model order identification) performance outperforms other relevant algorithms.

Original languageEnglish (US)
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1165-1169
Number of pages5
ISBN (Electronic)9781467388238
DOIs
StatePublished - Jun 7 2017
Event2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States
Duration: May 8 2017May 12 2017

Other

Other2017 IEEE Radar Conference, RadarConf 2017
CountryUnited States
CitySeattle
Period5/8/175/12/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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  • Cite this

    Rong, Y., Samuel, A. A., & Bliss, D. (2017). Model order identification and parameters estimation using array processings for small sample support. In 2017 IEEE Radar Conference, RadarConf 2017 (pp. 1165-1169). [7944380] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2017.7944380