Clutter map CFAR detector based on maximal resolution cell

Zhang, Renli; Sheng, Weixing; Ma, Xiaofeng; Han, Yubing

doi:10.1007/s11760-013-0544-0

Cited by 7 publications

(13 citation statements)

References 23 publications

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“…2013 ; Zhang et al. 2013 ; Weinberg 2013 , 2014 ; Zhang 2015 ). In this paper, CFAR is understood to be in the context as outlined in Gandhi and Kassam ( 1988 ), and as illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

Formulation of a generalised switching CFAR with application to X-band maritime surveillance radar

Weinberg

2015

SpringerPlus

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A generalisation of a switching based detector is examined, allowing the construction of such detectors for target detection in any clutter model of interest. Such detectors are important in radar signal processing because they are robust solutions to the management of interference. Although formulated in general terms, the theory is applied to the design of a switching constant false alarm rate detector for X-band maritime surveillance radar. It is shown that such a detector manages the problem of interference better than standard detection processes.

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Section: Introductionmentioning

confidence: 99%

Formulation of a generalised switching CFAR with application to X-band maritime surveillance radar

Weinberg

2015

SpringerPlus

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“…The methods in [10,11,12,13] are insufficient in suppressing the fixed clutter. To address this problem, clutter map-based CFAR (CM-CFAR) methods [14,15], which take the full benefits of multi-scans, are proposed. Conte et al [14] develop a CM-CFAR relying on a combination of space and time processing.…”

Section: Introductionmentioning

confidence: 99%

“…Conte et al [14] develop a CM-CFAR relying on a combination of space and time processing. In [15], the background noise/clutter power is estimated by processing the returns in the map cell from all scans up to the current one. Using temporal information and spatial information simultaneously is another powerful technology that benefits from multi-scans for clutter suppression [16,17,18].…”

Section: Introductionmentioning

confidence: 99%

“…Pixels of radar video increase dramatically for the increases of resolution and coverage range. Many more calculations and memory are required for using the detection methods [10,11,12,13,14,15,16,17,18]. Meanwhile, one frame of video must be processed within a radar scanning cycle by limited memory space.…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, one frame of video must be processed within a radar scanning cycle by limited memory space. However, the methods in [10,11,12,13,14,15,16,17,18] cannot process the video in real time. Meanwhile, the memory requirements of the methods in [14,15,16,17,18] are enormous.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Extended Targets Detection Framework Based on Sampling and Spatio-Temporal Detection

Yan

Zhao

et al. 2019

Sensors

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Excellent performance, real-time and low memory requirement are three vital requirements for target detection in high resolution marine radar system. Unfortunately, many current state-of-the-art methods merely achieve excellent performance when coping with highly complex scenes. In fact, a common problem is that real-time processing, low memory requirement and remarkable detection ability are difficult to coordinate. To address this issue, we propose a novel detection framework which bases its principle on sampling and spatiotemporal detection. The framework consists of two stages, coarse detection and fine detection. Sampling-based coarse detection is designed to guarantee the real-time processing and low memory requirements by locating the area where targets may exist in advance. Different from former detection methods, multi-scan video data are utilized. In the stage of fine detection, the candidate areas are grouped into three categories: single target, dense targets and sea clutter. Different approaches for processing the different categories are implemented to achieve excellent performance. The superiority of the proposed framework beyond state-of-the-art baselines is well substantiated in this work. Low memory requirement of the proposed framework was verified by theoretical analysis. Real-time processing capability was verified by the video data of two real scenarios. Synthetic data were tested to show the improvement in tracking performance by using the proposed detection framework.

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Signal Processing Design for Continuous Wave Radar Based on Jetson TX2

Hao

2022

Lecture Notes in Electrical Engineering

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Clutter map CFAR detector based on maximal resolution cell

Cited by 7 publications

References 23 publications

Formulation of a generalised switching CFAR with application to X-band maritime surveillance radar

Formulation of a generalised switching CFAR with application to X-band maritime surveillance radar

An Efficient Extended Targets Detection Framework Based on Sampling and Spatio-Temporal Detection

Signal Processing Design for Continuous Wave Radar Based on Jetson TX2

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