Adaptive cancellation method for geometry-induced nonstationary bistatic clutter environments

Melvin, W.L.; Davis, Mark E.

doi:10.1109/taes.2007.4285360

Cited by 98 publications

(51 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Precisely, a set of training data, sharing identical or correlated statistical properties with the noise in the test data, is needed to estimate R. The training data are often collected from range gates in the vicinity of the cell under test [23]. Remarkably, in some situations there may be no sufficient training data, due to environmental and instrumental factors; refer to [25] for details. To overcome this difficulty, many approaches can be adopted, such as frequency agility [26], knowledge-aided methods [27], and low-rank assumption about the noise covariance matrix [28].…”

Section: Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Robust GLRT approaches to signal detection in the presence of spatial–temporal uncertainty

Liu¹,

Yan³

et al. 2016

Signal Processing

View full text Add to dashboard Cite

Section: Problem Formulationmentioning

confidence: 99%

“…It is shown in Appendix C that when L is large enough both the GLRGDD and AMGDD approach the GLRT with known R in (25), which is denoted as the optimum matched generalized direction detector (OMGDD). For clarity, it is repeated in the following…”

Section: Asymptotic Forms Of the Glrgdd And Amgddmentioning

confidence: 99%

Robust GLRT approaches to signal detection in the presence of spatial–temporal uncertainty

Liu¹,

Yan³

et al. 2016

Signal Processing

View full text Add to dashboard Cite

“…To improve target detection performance in the range-dependent clutter circumstance, many approaches have been proposed to compensate clutter range dependency for STAP [4][5][6][7][8][9][10][11]. The class of parametric methods includes the Doppler warping (DW) [4], the angle Doppler compensation (ADC) [5], the adaptive angle Doppler compensation (A 2 DC) [6], the high-order Doppler warping (HODW) [7] and so on.…”

Section: Introductionmentioning

confidence: 99%

“…But in the case of range ambiguity, there exist multiple clutter ridges in a single range bin and it is impossible to compensate all clutter ridges simultaneously. Hence, clutter suppression performance obtained by these approaches [4][5][6][7] is degraded in this case. The class of non-parametric methods is introduced in [8][9][10][11] to deal with range-dependent clutter.…”

Section: Introductionmentioning

confidence: 99%

Range‐dependent clutter suppression approach for non‐side‐looking airborne radar based on orthogonal waveforms

Wen

Wang

2015

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

Clutter suppression is a challenging problem in non-side-looking airborne radar (NSLAR) because of the rangedependent clutter. It is more intractable when the NSLAR operates at high pulse repetition frequency (HPRF). In this study, a cascaded algorithm is presented to realise clutter suppression for NSLAR with HPRF. A novel orthogonal-waveform-based elevation adaptive beamforming method is proposed to suppress range-dependent near-range clutter at the first stage, and the residual range-independent far-range clutter is suppressed by azimuth-Doppler space-time adaptive processing (STAP) at the second stage. The proposed elevation beamformer can provide excellent performance on near-range clutter suppression because of the developed secondary data selection strategy. After suppression of the range-dependent near-range clutter, the range independency of clutter samples is enhanced evidently. Hence, the clutter suppression performance obtained by azimuth-Doppler STAP methods could be improved dramatically. Numerical examples are given to verify the validity of the proposed algorithm.

show abstract

“…The Doppler warping (DW) [4] and high-order DW [5] methods apply a (multiple) deterministic pulse domain taper(s) to align the training samples. The angle-Doppler compensation method [6][7][8][9] employs a similar principle to align the peaks of the clutter spectrum of the samples to that of the cell under test (CUT).…”

Section: Introductionmentioning

confidence: 99%

Clutter suppression approach for non‐sidelooking airborne radar with medium pulse repetition frequency

Dai

Wang

et al. 2014

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

For non-sidelooking airborne radar operating in medium pulse repetition frequency mode, the space-time adaptive processing (STAP) technique suffers from a significant performance loss due to the range dependence of clutter. Here, an efficient clutter suppression approach is presented to improve STAP performance. Utilising the characteristics of clutter, the near-range clutter, the major reason for the performance degradation, is extracted from raw returns using a specially designed oblique projector firstly, and then is mitigated by an adaptive beamformer estimated from the extracted components. Subsequently, an azimuth-Doppler STAP beamformer is employed to further suppress the residual clutter. To enhance the robustness of the approach, a simple steering vector calibration technique is taken into account. The proposed approach can eliminate the near-range clutter effectively, and therefore alleviate the clutter range dependence greatly. The STAP performance can be improved significantly. Simulation results demonstrate the effectiveness of the presented method.

show abstract

Adaptive cancellation method for geometry-induced nonstationary bistatic clutter environments

Cited by 98 publications

References 22 publications

Robust GLRT approaches to signal detection in the presence of spatial–temporal uncertainty

Robust GLRT approaches to signal detection in the presence of spatial–temporal uncertainty

Range‐dependent clutter suppression approach for non‐side‐looking airborne radar based on orthogonal waveforms

Clutter suppression approach for non‐sidelooking airborne radar with medium pulse repetition frequency

Contact Info

Product

Resources

About