Beam-augmented space-time adaptive processing

Seliktar, Y.; Williams, D.B.; Holder, E.J.

doi:10.1109/icassp.1999.761356

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Space-time adaptive processing(STAP)is the most effective clutter suppression method at present [1] . In recent years, driven by the development of sparse recovery (SR) and compressed sensing (CS) theories [2,3] , SR STAP algorithm is formed [4] .…”

Section: Introductionmentioning

confidence: 99%

Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Liu¹,

Suo²,

Sang³

2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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Sparse recovery space-time adaptive processing requires the use of dictionaries composed of redundant basis vectors, but sometimes the dictionary division is inaccurate. At this time, the off network effect will occur..Therefore, this paper studies the elimination of off-grid effect by two-dimensional iterative adaptive dictionary correction algorithm. In this method, the covariance matrix of clutter plus noise is estimated by the 2D IAA-STAP algorithm, and then the atoms most relevant to clutter points are obtained. The maximum joint likelihood function is used to search the clutter Doppler frequency atoms in the local area. Finally, a new space-time oriented dictionary is formed by iteration. The experimental simulation shows that the proposed method can make the clutter points attach to the clutter ridge better and reduce the off-grid effect more effectively.

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Section: Introductionmentioning

confidence: 99%

Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Liu¹,

Suo²,

Sang³

2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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“…4)Output interference-to-noise ratio ( OINR ) [8,9] is defined as the ratio of the processor output power to the noise power.…”

Section: A Monopulse Radar Processorsmentioning

confidence: 99%

Fractional Fourier transform based monopulse radar for combating jamming interference

Elgamel¹,

Soraghan²

2010

Sensor Signal Processing for Defence (SSPD 2010)

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Abstract-Monopulse radars are used to track a target that appears in the look direction beam width. The distortion produced when manmade high power interference (jamming). Jamming scenarios are achieved by introducing high power interference to the radar processor through the radar antenna main lobe (main lobe interference) or antenna side lobe (side lobe interference). This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which offers a solution to this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The proposed system configurations with the optimum FrFT filters is shown to reduce the simulated interfered signal and improve the signal to noise ratio (SNR) in the processors outputs in both processor using the proposed monopulse structure.

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Beam-augmented space-time adaptive processing

Cited by 2 publications

References 3 publications

Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Research on correction algorithm of 2D IAA dictionary to eliminate off-grid effect

Fractional Fourier transform based monopulse radar for combating jamming interference

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