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A reduced dimension multiple signal classification–based direct location algorithm with dense arrays

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Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea… Click to show full abstract

Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea of dimension reduction, the algorithm avoids multi-dimensional search in spatial domain and attenuation coefficient domain and reduces the search complexity. Simulation results show that the performance of the algorithm is better than the traditional angle of arrival two-step localization algorithm and subspace data fusion direct localization algorithm.

Keywords: multiple signal; algorithm; signal classification; dimension multiple; reduced dimension; dimension

Journal Title: International Journal of Distributed Sensor Networks
Year Published: 2022

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