• 전기학회논문지
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• 제56권10호
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• pp.1826-1835
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• 2007

In this paper, we present a new approach for automatic detection and tracking for multiple targets. We combine a highest probability data association(HPDA) algorithm for target detection with a particle filter for multiple target tracking. The proposed approach evaluates the probabilities of one-to-one assignments of measurement-to-track and the measurement with the highest probability is selected to be target- originated, and the measurement is used for probabilistic weight update of particle filtering. The performance of the proposed algorithm for target tracking in clutter is compared with the existing clustering algorithm and the sequential monte carlo method for probability hypothesis density(SMC PHD) algorithm for multi-target detection and tracking. Computer simulation studies demonstrate that the HPDA algorithm is robust in performing automatic detection and tracking for multiple targets even though the environment is hostile in terms of high clutter density and low target detection probability.

• 한국군사과학기술학회지
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• 제10권4호
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• pp.30-37
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• 2007

In this paper, Water Entry Point Selection Algorithm(WEPSA) for selecting an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target was investigated. WEPSA is a method which decides the position of an optimal Water Entry Point with calculating the target Detection Probability of a torpedo in the whole domain which centered by the target, performing the Monte-Carlo Simulations which include errors for the target informations and for weapon delivery. We can decide an optimal Water Entry Point of anti-submarine missiles which maximizes Detection Probability about a given target with WEPSA, if we get target informations about target range, target bearing, target speed and target course from Combat Systems.

• International Journal of Aeronautical and Space Sciences
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• 제6권1호
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• pp.8-16
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• 2005

This paper describes target detection performance of millimeter wave radar that exits on non-stationary target detection schemes in the ground clutter conditions. The comparison of various CFAR process schemes such as CA(Cell-Average)-CFAR, GO(Greatest Of)/SO(Smallest Of)-CFAR, and OS(Order Statistics)-CFAR performance are applied. Using matlab software, we show the performance and loss between target detection probability and signal to noise ratio. This paper concludes the OS-CFAR process performance is better than any others and satisfies the optimal detection probability without loss of detection in the homogeneous clutter, When range bins increase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.5095-5111
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• 2016

The Probability Hypothesis Density (PHD) filter is a suboptimal approximation and tractable alternative to the multi-target Bayesian filter based on random finite sets. However, the PHD filter fails to track newborn targets when the target birth intensity is unknown prior to tracking. In this paper, a dual detection-guided newborn target intensity PHD algorithm is developed to solve the problem, where two schemes, namely, a newborn target intensity estimation scheme and improved measurement-driven scheme, are proposed. First, the newborn target intensity estimation scheme, consisting of the Dirichlet distribution with the negative exponent parameter and target velocity feature, is used to recursively estimate the target birth intensity. Then, an improved measurement-driven scheme is introduced to reduce the errors of the estimated number of targets and computational load. Simulation results demonstrate that the proposed algorithm can achieve good performance in terms of target states, target number and computational load when the newborn target intensity is not predefined in multi-target tracking systems.

• Journal of electromagnetic engineering and science
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• 제12권1호
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• pp.70-76
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• 2012

We compare the detection probabilities of the time-reversal(TR) detection system and the conventional radar system. The target is assumed to be hidden inside a random medium such as a forest. We propose a TR detection system based on the SAR(Synthetic Aperture Radar) algorithm. Unlike the conventional SAR images, the proposed TR-SAR system has an interesting property. Specifically, the target-related signal components due to the time-reversal refocusing characteristics, as well as some of clutter-related signal components are concentrated at the time-reversal reference point. The remaining clutter-related signal components are scattered around that reference point. In this paper, we model the random media as a collection of point scatterers to avoid unnecessary complexities. We calculate the detection probability of the TR radar system based on the proposed simple random media model.

• 한국통신학회논문지
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• 제34권4C호
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• pp.476-483
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• 2009

마이크로파 탐색기를 이용하여 표적을 탐지, 추적하는 경우 하방 표적에 대해서는 지표면에서 반사되는 클러터 신호의 영향을 받는다. HPRF (high pulse repetition frequency) 모드를 사용하는 마이크로파 탐색기에서 부엽클러터 영역에 나타나는 퇴각표적을 탐지하기 위해서는 여러 지형과 상황에 따른 지표면 부엽클러터 전력의 통계적인 특징을 파악하여야 한다. HPRF 모드를 사용하는 탐색기의 항공기 탑재시험에서 지상 클러터의 전력을 측정한 자료를 기반으로, 각 지형과 안테나 시선각 등의 상황에 따라 부엽클러터의 확률분포 특성을 가장 근접하게 표현하는 확률밀도함수를 구하고 그 확률밀도함수의 매개변수를 추정하였다. 확률밀도함수 및 매개변수를 추정한 자료를 이용하여, 퇴각표적을 탐지할 때에 원하는 수준의 표적탐지 오류 확률을 가지는 표적탐지 임계값 설정에 관하여 분석하였다. 본 논문의 지표면 부엽클러터 전력의 확률분포 특성 분석과 표적탐지 임계값 설정에 관한 분석 자료는 표적탐지 방법 개발 및 일정 오경보 처리 등의 다양한 분야에 이용될 수 있다.

• 한국정보전자통신기술학회논문지
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• 제8권2호
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• pp.140-146
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• 2015

본 논문에서는 레이더 시스템에서 원하는 목표물 추정을 위한 효율적인 임계치 방법을 연구였다. 관심있는 목표물 탐지 검출 방법은 오 경보 확률을 변화 시켜 가면서 원하는 목표물을 추정한다. 이때 오 경보의 확률은 임계치와 밀접한 관계가 있다. 임계치를 낮게 하면 원하는 목표물의 정확도를 향상시킬 수 있지만 잡음 까지 추정하여 효율적인 신호처리 방법이 되지 못한다. 효율 적인 임계치 방법을 제안하여 원하는 목표물을 추정하는 연구 방법을 제안하다. 모의실험을 통해서 기존의 방법과 본 연구에서 제안한 방법을 비교 분석하였다.

• 한국군사과학기술학회지
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• 제13권3호
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• pp.461-469
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• 2010

In this paper, we have proposed an improved fusion method of detection features which can enhance the detection probability under the given false alarm rate in the prescreening stage of SAR ATR(Synthetic Aperture Radar Automatic Target Recognition) system. Since the detection features have the positive correlation, the detection performance can be improved if the joint probability distribution of detection features is considered in the fusion process. The detection region is designed as a simple piecewise linear function which can be represented by few parameters. The parameters for the detection region can be derived by training the sample SAR images to maximize the detection probability with the given false alarm rate. Simulation result shows that the detection performance of the proposed method is improved for all combinations of detection features.

• ETRI Journal
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• 제16권2호
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• pp.15-25
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• 1994

In this paper we present a new formula which can predict the exact detection probability of a generalized order statistics (GOS) constant false alarm rate (DFAR) detector for a partially correlated Rayleigh target model (0 < $ \rho$< 1) in a closed form, where $\rho$ is the correlation coefficient between returned pulses. By simply substituting a set of specific coefficient into the derived formula, one can obtain the detection probability of any kind of CFAR detector. Detectors may include the order statistics CFAR detector, the censored mean level detector, and the trimmed mean CFAR detector, but are not necessarily restricted to them. The numerical result for the first order Markov correlation model as applied to some of the detectors shows that as $\rho$ increases from zero to one, higher signal-to-noise ratio is required to achieve the same detection probability.

• ETRI Journal
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• 제15권2호
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• pp.1-9
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• 1993

Nitzberg has analyzed the detection performance of the clutter map constant false alarm rate (CFAR) detector using single pulse. In this paper, we extend the detection analysis to the clutter map CFAR detector that employs M-pulse noncoherent integration. Detection and false alarm probabilities for Swerling target models are derived. The analytical results show that the larger the number of integrated pulses M, the higher the detection probability. On the other hand, the analytical results for Swerling target models show that the detection performance of the completely decorrelated target signal is better than that of the completely correlated target.