Stability of manifold ambiguity resolution in DOA estimation with nonuniform linear antenna arrays

Yuri I. Abramovich, Vladimir G. Gaitsgory, Nicholas K. Spencer

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

3 Citations (Scopus)

Abstract

We investigate the stability of direction-of-arrival (DOA) manifold ambiguity resolution for uncorrelated Gaussian sources. Such ambiguity is associated with linear dependence amongst the points on the antenna array manifold (in the "conventional" case, where the number of sources is less than the number of sensors), or amongst the points on the antenna co-array manifold otherwise (in the "superior" case). We previously introduced identifiability conditions for manifoldly ambiguous scenarios and described a new diagonal-fitting algorithm for ambiguity resolution. Simulations revealed the existence of superior scenarios that are extremely sensitive to estimation errors, typical of the DOA estimation techniques applied. This phenomenon gives rise to the notion of "stable" and "unstable" identifiability, which we discuss here.

Original languageEnglish
Title of host publicationCommunications sensor array and multichannel signal processing
EditorsUnknown
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3117-3120
Number of pages4
Volume5
ISBN (Electronic)0780362969
ISBN (Print)0780362934
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 5 Jun 20009 Jun 2000

Other

Other25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period5/06/009/06/00

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  • Cite this

    Abramovich, Y. I., Gaitsgory, V. G., & Spencer, N. K. (2000). Stability of manifold ambiguity resolution in DOA estimation with nonuniform linear antenna arrays. In U. (Ed.), Communications sensor array and multichannel signal processing (Vol. 5, pp. 3117-3120). [861197] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.2000.861197