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Multi-frame track-before-detect (MF-TBD) can achieve superior performance for detection and tracking of low signal-to-noise ratio (SNR) targets by performing, upon the intra-frame coherent integration of slow-time samples within a coherent processing interval, the measurement integration between multiple consecutive frames to further accumulate target energy along physically feasible trajectories...
In this paper, we present methods for segmenting noisy two-dimensional forward-scan sonar images and classify and model their background. The segmentation approach differentiates the highlight blobs, cast shadows, and the background of sonar images. There is usually little information within relatively large background regions corresponding to the flat sea bottom and (or) water column, as they are...
This paper addresses the dim target tracking problem with respect to the multi-frame detection (MFD). Generally, the MFD strategy implicitly merges the tracking stage into its framework, by which the estimated target trajectory can be simultaneously returned when a target is declared. However, due to the batch processing manner of MFD, such products, essentially, are short state sequences in time...
This paper mainly addresses the maneuvering targets detection and tracking problem in pulse Doppler radar using Dynamic Programming (DP) based Track-Before-Detect (TBD). Generally, the DP-TBD algorithm implicitly embeds the tracking stage into its framework using a predefined target model to determine the admissible searching paths. However, its performance will suffer severe loss due to the mismatching...
This paper addresses the problem of computational efficiency with respect to Dynamic Programming (DP) based Track-Before-Detect (TBD). Generally, DP-TBD is a grid-based method that estimates target trajectory by means of searching all the physically admissible paths in a finite discrete state space. However, its computational complexity increases nonlinearly as the state space expands with size or...
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