Multiframe Radar Detection of Fluctuating Targets Using Phase Information

δ-Generalized Labeled Multi-Bernoulli Filter Using Amplitude Information of Neighboring Cells

“…In the situation of Swerling type I fluctuation, amplitudes of target and clutter are Rayleigh distributed. The pdf of the clutter amplitude [ 16 ] is given by where is the covariance of the clutter amplitude. On the other hand, the pdf of the target amplitude is given by where is the covariance of the target amplitude.…”

“…Nevertheless, when the detection performance is unsatisfactory, the tracking accuracy will decline. In this case, the track-before-detect (TBD) strategy [ 12 , 13 , 14 , 15 , 16 ] is proposed. It gets rid of the detection in any single frame, but accumulates the likelihood ratio of continuous multiple frames.…”

“…After detection process, the plots are likely to be distributed in multiple adjacent cells. This phenomenon is called spread [ 12 ] or spillover [ 16 ] of target energy. In order to reduce complexity, most of target tracking approaches require that one measurement is generated for a target in each frame [ 5 ].…”

“…It could help improve the tracking performance. By now, this idea has been used in some TBD approaches [ 12 , 13 , 16 ].…”

Labelled multi‐Bernoulli filter with amplitude information for tracking marine weak targets

“…In this situation, the difficulty in track initiation and the existence of a larger number of false tracks make the limitations of conventional MTT strategies apparent. To deal with it, two feasible weak target tracking methods were proposed, including the track‐before‐detect (TBD) [10–13] strategy and the amplitude information (AI)‐based tracking [14–20] strategy. The former method needs to traverse all range‐azimuth cells to search targets, thus it is computationally demanding for real‐time applications; the latter method only searches the units where the detections are located; therefore, it is more suitable for real‐time tracking scenarios.…”