GLRT-based generalized direction detector in partially homogeneous environment

Liu, Weijian; Gao, Fei; Luo, Yuwen; Liu, Jun; Wang, Yongliang

doi:10.1007/s11432-018-9777-5

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…The problem of GDD in HE was exploited in [99], where the corresponding GLRT and 2S-GLRT were proposed. In addition, the 2S-GLRT in PHE for GDD was given in [100].…”

Section: Gddmentioning

confidence: 99%

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Multichannel adaptive signal detection: basic theory and literature review

Liu

Chen

et al. 2022

Sci. China Inf. Sci.

Self Cite

149

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Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists. The resulting adaptive detectors typically possess constant false alarm rate (CFAR) properties; thus, no additional CFAR processing is required. In addition, a filtering process is also not required because the filtering function is embedded in the adaptive detector. Adaptive detection typically exhibits better detection performance than the filtering-then-CFAR detection technique. It has been approximately 35 years since the first multichannel adaptive detector was proposed by Kelly in 1986. However, there are few overview articles on this topic. Thus, in this study, we present a tutorial overview of multichannel adaptive signal detection with an emphasis on the Gaussian background. We discuss the main design criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection techniques, investigate the relationship between adaptive detectors and adaptive filters, summarize typical adaptive detectors, present numerical examples, provide a comprehensive literature review, and discuss potential future research tracks.

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“…The problem of GDD in HE was exploited in [99], where the corresponding GLRT and 2S-GLRT were proposed. In addition, the 2S-GLRT in PHE for GDD was given in [100].…”

Section: Gddmentioning

confidence: 99%

“…This type of problem is referred to as generalized direction detection in [99], where the GLRT and 2S-GLRT in HE were proposed. In addition, the Wald test in HE was given in [362], and the 2S-GLRT in PHE was derived in [100].…”

mentioning

confidence: 99%

Multichannel adaptive signal detection: basic theory and literature review

Liu

Chen

et al. 2022

Sci. China Inf. Sci.

Self Cite

149

View full text Add to dashboard Cite

show abstract

“…It is worth highlighting that the aforementioned algorithms are considered in homogeneous environments [13][14][15][16][17][18]; however, since airborne radar usually works in a downwardlooking state [19], it faces a severely heterogeneous clutter environment. Heterogeneous clutter refers to clutter for which its characteristics are inconsistent with that of the cell under test (CUT), such as clutter with a different power [20] or probability density function (PDF).…”

Section: Introductionmentioning

confidence: 99%

A Steering-Vector-Based Matrix Information Geometry Method for Space–Time Adaptive Detection in Heterogeneous Environments

Zou,

Cheng,

et al. 2024

Remote Sensing

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Plagued by heterogeneous clutter, it is a serious challenge for airborne radars to detect low-altitude, weak targets. To overcome this problem, a novel matrix information geometry detector for airborne multi-channel radar is proposed in this paper. The proposed detector applies the given steering vector and array structure information to the matrix information geometry detection method so that it can be used for space–time adaptive detection. While improving the detection performance, the matrix information geometry detector’s original anti-clutter advantage is enhanced as well. The simulation experiment results indicate that the proposed detector has advantages in several of the properties related to space–time adaptive detection, while its computational complexity does not increase significantly. Moreover, experiment results based on the measured data verify the superior performance of the proposed method. Sea-detecting data-sharing-program data, mountaintop data, and phased-array radar data are employed to verify the performance advantage of the proposed method in heterogeneous clutter and the ability for weak target detection.

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“…Except for the GLRT, there are the other two common detector design criteria, namely, the Wald test and Rao test. The corresponding Wald tests were given in [7, 8], where it was shown that there is no effective Rao test for this type of detection problem.…”

Section: Introductionmentioning

confidence: 99%

Parametric detector for subspace‐based distributed target detection in the presence of signal mismatch

Deng

et al. 2021

Electronics Letters

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In this letter, the authors investigate the problem of subspace-based distributed target detection when signal mismatch arises. To solve the problem, a simple and effective detector is introduced, which is parameterised by a non-negative scalar. By adjusting the scalar, the proposed detector can flexibly change its detection properties for mismatched signals. In particular, the proposed detector with a small scalar is robust to signal mismatch, while the detector with a large scalar is selective. Moreover, the proposed detector with an appropriate scalar can provide higher probability of detection than the existing detectors in the absence of signal mismatch. Both simulated and real data confirm the effectiveness of the proposed detector.

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GLRT-based generalized direction detector in partially homogeneous environment

Cited by 11 publications

References 9 publications

Multichannel adaptive signal detection: basic theory and literature review

Multichannel adaptive signal detection: basic theory and literature review

A Steering-Vector-Based Matrix Information Geometry Method for Space–Time Adaptive Detection in Heterogeneous Environments

Parametric detector for subspace‐based distributed target detection in the presence of signal mismatch

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