PERFORMANCE ANALYSIS OF RADAR TARGET RECOGNITION USING NATURAL FREQUENCY: FREQUENCY DOMAIN APPROACH | Zendy

JoonHo Lee | Zendy; SungWoo Cho | Zendy; SangHong Park | Zendy; KyungTae Kim | Zendy

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PERFORMANCE ANALYSIS OF RADAR TARGET RECOGNITION USING NATURAL FREQUENCY: FREQUENCY DOMAIN APPROACH

Author(s) -

JoonHo Lee,

SungWoo Cho,

SangHong Park,

KyungTae Kim

Publication year - 2012

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier12071107

Subject(s) - frequency domain , probability density function , radar , monte carlo method , fourier transform , algorithm , computer science , function (biology) , time–frequency analysis , inverse , pattern recognition (psychology) , mathematics , artificial intelligence , statistics , telecommunications , mathematical analysis , computer vision , geometry , evolutionary biology , biology

We consider the performance analysis of natural frequency-based radar target recognition in the frequency domain. Based on the probability density function (PDF) of some quantity con- sisting of the projections of the frequency response onto the column spaces of the matrices constructed using the natural frequencies of the speciflc targets, we propose to analytically calculate the probability of the correct classiflcation, where the PDF is obtained from the inverse Fourier transform of the characteristic function. The scheme is vali- dated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

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