Improvement factor of a recursive MTI radar filter

Shrader, William W.; Hansen, V. Gregers; Mark, Jon W.; Woods, H. Arthur

doi:10.1109/proc.1972.8920

Cited by 2 publications

(1 citation statement)

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“…One way is to suppress the clutter, and the representatives are moving target indication (MTI) [3][4][5] and adaptive filtering methods. But MTI is vulnerable to dynamic clutter [6], and adaptive filtering methods require prior knowledge of the target. Another way is to enhance the power of the target, such as the moving-target detection (MTD) [7] method.…”

Section: Introductionmentioning

confidence: 99%

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds

Zhang,

Xu,

Chen

et al. 2024

Remote Sensing

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Traditional radar target detectors, which are model-driven, often suffer remarkable performance degradation in complex clutter environments due to the weakness in modeling the unpredictable clutter. Deep learning (DL) methods, which are data-driven, have been introduced into the field of radar target detection (RTD) since their intrinsic non-linear feature extraction ability can enhance the separability between targets and the clutter. However, existing DL-based detectors are unattractive since they require a large amount of independent and identically distributed (i.i.d.) training samples of target tasks and fail to be generalized to the other new tasks. Given this issue, incorporating the strategy of meta-learning, we reformulate the RTD task as a few-shot classification problem and develop the Inter-frame Contrastive Learning-Based Meta Detector (IfCMD) to generalize to the new task efficiently with only a few samples. Moreover, to further separate targets from the clutter, we equip our model with Siamese architecture and introduce the supervised contrastive loss into the proposed model to explore hard negative samples, which have the targets overwhelmed by the clutter in the Doppler domain. Experimental results on simulated data demonstrate competitive detection performance for moving targets and superior generalization ability for new tasks of the proposed method.

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Section: Introductionmentioning

confidence: 99%

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds

Zhang,

Xu,

Chen

et al. 2024

Remote Sensing

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Design of airborne adaptive recursive MTI filter for detecting targets of slow speed

Huang

Peng²

Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]

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Owing to the narrow distance in Doppler fiequency domain between slow speed targets and ground clutter, it is difficult to suppress effectively clutter without attenuating target signals. A solution is adopting the recursive MTI filter. This paper presents a flexible design method of this kind of filter. It not only adaptively adjusts filter parameters according to real clutter condition, but also can prevent slow speed targets fiom attenuation. A simulation example proves the effectiveness of the design method.

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Improvement factor of a recursive MTI radar filter

Cited by 2 publications

References 1 publication

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds

Design of airborne adaptive recursive MTI filter for detecting targets of slow speed

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