Model-Based Classification of Aircraft Range Profiles using Data Association Algorithms

Savy, Laurent; Gaie, Christophe

doi:10.1109/radar.2007.374326

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The effective range of radar target recognition is around 300km generally, and the range based on image object recognition is more close, which is generally within the range of visibility [2]. However the aircraft type recognition based on shortwave with speech communication background sound, whose recognition distance can reach thousands of kilometers.…”

Section: Introductionmentioning

confidence: 99%

Aircraft type recognition based on shortwave speech communication with PLP

Zhang¹,

Li²,

Li³

et al. 2011

International Conference on Information Science and Technology

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This paper studies aircraft type recognition based on shortwave speech communication. Features are extracted based on Perceptual Linear Predictive (PLP) with RASTA and High-order Cumulant, considering auditory perceptual properties, which combines with physical properties of the target acoustic signal at the same time. Support vector machine(SVM) is used as classifier. The simulation results of aircraft type recognition have shown that RASTA-PLP-HOC based on PLP with RASTA, combined with HOC with physical properties of signal, can extract the robust feature of aircraft cabin background sound and identify the six kinds of aircrafts with high recognition rate. RASTA-PLP-HOC-SVM has achieved more excellent performance and higher recognition rate than RASTA-PLP -SVM and MFCC-SVM. 2 2 ( ) 0.1 (1 0.98 ) z z z H z z z

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Section: Introductionmentioning

confidence: 99%

Aircraft type recognition based on shortwave speech communication with PLP

Zhang¹,

Li²,

Li³

et al. 2011

International Conference on Information Science and Technology

View full text Add to dashboard Cite

show abstract

“…There are many methods to measure the similarity between two range profiles, such as correlation coefficient, exponent coefficient [17,18]. However, traditionally, the threshold is chosen empirically [19] and has to be chosen again if the observation condition changes.…”

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confidence: 99%

Recognition of warheads by range-profile matching with automatic threshold

Tan,

Wang

2024

EURASIP J. Adv. Signal Process.

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In this paper, a novel algorithm is presented for warhead recognition in the defense of ballistic missiles. The range profiles from the warheads of interest in typical illumination directions form a dataset. First, each range profile in the dataset is compared to the range profile of the target under observation, and the most similar range profile is found. Then, the observed target is considered as a warhead if the deviation of its range profile from the most similar range profile is less than or equal to a threshold. The threshold is chosen such that the detection rate is a constant. The simulation results verify the effectiveness of the proposed algorithm. Since the threshold is automatically calculated according to the detection rate, this algorithm has a larger applicability than the current methods based on range-profile matching.

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Cross-range scaling of inverse synthetic aperture radar images with complex moving targets based on parameter estimation

2017

J Supercomput

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Model-Based Classification of Aircraft Range Profiles using Data Association Algorithms

Cited by 5 publications

References 2 publications

Aircraft type recognition based on shortwave speech communication with PLP

Aircraft type recognition based on shortwave speech communication with PLP

Recognition of warheads by range-profile matching with automatic threshold

Cross-range scaling of inverse synthetic aperture radar images with complex moving targets based on parameter estimation

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