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- W2367861520 abstract "The power information and the theory of radio propagation are introduced to the direction data association in passive cross location system,a novel data association algorithm based on received signal power estimation is proposed.The relationship between array manifold and received signal strength of covariance matrix estimation is derived.The high order power of inverse spatial covariance matrix is used to approximate the signal subspace,and the received signal power is obtained under the condition of known signal directions,thus avoiding the amplitude-attribute data association algorithm's disadvantage caused by the uncertainty noise and signal wave.The confidence level of each cross location is computed by using the relationship between the received power and the propagation decay.Through this way,the correct association is selected from the set of candidates.The simulation results confirm feasibility and superiority of the proposed method." @default.
- W2367861520 created "2016-06-24" @default.
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- W2367861520 date "2013-01-01" @default.
- W2367861520 modified "2023-09-25" @default.
- W2367861520 title "Direction-Data Association Algorithm Based on Power Estimation" @default.
- W2367861520 hasPublicationYear "2013" @default.
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