Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Abstract

Abstract-In this paper, the performance analysis of the natural frequency-based radar target recognition in the time domain is considered. We investigate the dependence of the probability of correct classification on a specific threshold value, and determine the optimum threshold value for two targets, and the sub-optimal threshold for multiple targets to maximize the probability of correct classification. Based on the probability density function (PDF) of some quantity consisting of the projections of the late time response onto the column spaces of the matrices constructed using the natural frequencies of the specific targets, we propose how to determine an optimum threshold in the sense that the probability of correct classification of two targets is maximized. By extending the scheme for two targets, we show how to determine a threshold value close to the optimal threshold for multiple targets. The scheme is validated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

Dependence of performance on threshold value in natural frequency-based target recognition: frequency domain approach

“…Natural frequency is a commonly used radar signature for radar target recognition. [10] Cho and Lee [11] showed that the probability of correct classification could be improved by properly selecting a threshold value which is used for recognition of a radar target in the time domain. In this paper, we show how to apply the scheme in [11] in the frequency domain.…”

“…[10] Cho and Lee [11] showed that the probability of correct classification could be improved by properly selecting a threshold value which is used for recognition of a radar target in the time domain. In this paper, we show how to apply the scheme in [11] in the frequency domain. That is, we show how to improve the probability of correct classification in the frequency domain by properly selecting the threshold value.…”

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

“…There have been many studies on radar target recognition [1][2][3][4][5][6][7][8][9] and detection [10][11][12][13][14][15][16][17][18][19][20][21][22][23]. In natural frequency-based radar signal processing, accurate estimation of natural frequency is quite important [24][25][26].…”

Performance Enhancement of Target Recognition Using Feature Vector Fusion of Monostatic and Bistatic Radar

“…Thus, most previous studies on radar target recognition assume a monostatic arrangement. The recognition algorithms generally involve feature vectors consisting of scattering center information from the early-time response or resonant frequency information from the late-time response [1][2][3]. Scattering centers are those points on the target associated with strong scattered fields while natural resonant frequencies arise from global interactions and are related to the physical size of the target.…”