Comparison of sparse sensor array configurations with constrained aperture for passive sensing

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136 Downloads (Pure)

Abstract

Sparse sensor arrays can match the performance of fully populated arrays in many tasks, such as direction-of-arrival estimation, using substantially fewer elements. However, finding the sparse array configuration that uses the smallest number of elements is generally a hard problem. Consequently, several closed-form, but sub-optimal solutions have been developed in the past. These designs are typically specified for a given number of elements, although when the area occupied by the array is the main limitation, it is more convenient to compare arrays of similar aperture instead. This paper outlines procedures for synthesizing three sparse linear array geometries for a specified aperture, namely the Wichmann, Nested and Super nested array. These configurations are compared to the optimal Minimum-redundancy array and their deviation from optimality is quantified in the limit of large apertures.

Original languageEnglish
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherIEEE
Pages797-802
Number of pages6
ISBN (Electronic)9781467388238
DOIs
Publication statusPublished - 7 Jun 2017
MoE publication typeA4 Article in a conference publication
EventIEEE Radar Conference - Seattle, United States
Duration: 8 May 201712 May 2017

Publication series

NameProceedings of the IEEE Radar Conference
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

ConferenceIEEE Radar Conference
Abbreviated titleRadarCon
CountryUnited States
CitySeattle
Period08/05/201712/05/2017

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  • Cite this

    Rajamäki, R., & Koivunen, V. (2017). Comparison of sparse sensor array configurations with constrained aperture for passive sensing. In 2017 IEEE Radar Conference, RadarConf 2017 (pp. 797-802). [7944312] (Proceedings of the IEEE Radar Conference). IEEE. https://doi.org/10.1109/RADAR.2017.7944312