Knowledge-based space-time adaptive processing

Antonik, Paul; Schuman, H.; Li, P.; Melvin, W.L.; Wicks, Michael C.

doi:10.1109/nrc.1997.588338

Cited by 48 publications

(15 citation statements)

References 6 publications

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“…For that purpose, a great deal of effort has been made on STAP (Space-Time Adaptive Processing) and knowledgebased processing [2,3]. In the meantime, adaptation of the transmitted waveform for interference and noise resilience is studied recently [4].…”

Section: Introductionmentioning

confidence: 99%

Scaling function waveform for effective side-lobe suppression in radar signal

Cao

Zheng

Ewing

2011

Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON)

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Scaling function of generic wavelet is proposed to be the radar waveform of a radar signal. Its shows significant advantage on conventional linear frequency modulated (LFM) or chirp radar waveform in side-lobe compression. To increase the bandwidth of the radar waveform, we further propose a new radar waveform named chirp-Z, which is composed of wavelet packets. The generation of the chirp-Z signal is introduced, and the signal is compared with the chirp radar pulse with the same duration and same bandwidth chirp. The result demonstrates that chirp-Z signal has much better sidelobe suppression than the conventional chirp signal. Furthermore, due to the composition of wavelet packets in the chirp-Z signal, subband adaptation in both amplitude and phase adjustment becomes flexible in responding to the variation of environments.The latter enables powerful cognitive radar.

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Section: Introductionmentioning

confidence: 99%

Scaling function waveform for effective side-lobe suppression in radar signal

Cao

Zheng

Ewing

2011

Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON)

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“…where N c ≤ N is the number of range rings [Notice that model (2) refers to the general case of range ambiguous clutter. It reduces to the range unambiguous scenario letting N c ¼ 1.]…”

Section: System Modelmentioning

confidence: 99%

Cognitive design of the receive filter and transmitted phase code in reverberating environment

Aubry¹,

Maio²,

Piezzo³

et al. 2012

IET Radar, Sonar &Amp; Navigation

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129

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In this study, the authors consider the problem of cognitive transmit signal and receive filter design for a point-like target embedded in a high-reverberating environment. The authors focus on phase-only waveforms, sharing either a continuous or a finite alphabet phase, hence they devise constrained optimisation procedures that sequentially improve the Signal to Interference plus Noise Ratio (SINR), accounting for a similarity constraint between the transmitted signal and a prescribed radar waveform. The computational complexity of the proposed algorithms is linear with the number of iterations and polynomial with the receive filter length. At the analysis stage, the performance of the techniques is assessed in the presence of a homogeneous clutter scenario.

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“…It has been shown [2][3][4][5][6][7][8][9][10][11][12], that if an airborne radar system uses prior knowledge concerning certain features of the earth (e.g. land-sea interfaces) intelligently, then performance in the filtering, detection and tracking stages of a radar processing chain improves dramatically.…”

Section: Introductionmentioning

confidence: 99%

Metacognition in radar

Capraro

Wicks

2010

2010 International Conference on Electromagnetics in Advanced Applications

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An airborne ground looking radar sensor's performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with a description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition.

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Knowledge-based space-time adaptive processing

Cited by 48 publications

References 6 publications

Scaling function waveform for effective side-lobe suppression in radar signal

Scaling function waveform for effective side-lobe suppression in radar signal

Cognitive design of the receive filter and transmitted phase code in reverberating environment

Metacognition in radar

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