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In this paper we devise a two-stage receiver for detecting targets embedded in heterogeneous interference environment. Precisely, the receiver is composed of a training data selector which excises outliers from the available secondary dataset and an adaptive matched filter (AMF) which performs the decision as to the target presence. The selector estimates the outlier subset resorting to the generalized...
Space-time adaptive processing based on clutter sparse recovery (SR-STAP) methods outperform traditional statistical-STAP algorithms in scenarios with limited training numbers. However, the computational burden of current SR-STAP methods is extremely heavy, particularly when the number of discretized angle and Doppler grid points is large, which hinders these methods from coming into practical use...
In contrast to mechanical scanning and electronic scanning, frequency diverse array (FDA) provides a new mode of scanning by using a small frequency offset across the array elements. But there exists an inherent contradiction in FDA without transmit weights since range resolution is proportional to the frequency offset while time illuminating at a particular target is inversely proportional to the...
In this paper, a double V-chirp waveform scheme is employed to suppress the false targets present in the delay-Doppler maps, which are caused by the use of traditional V-chirp transmitted signal in multiple targets environment. Then a family of nonlinear processing methods are applied and the delay-Doppler resolutions of these two waveform schemes are also compared, proving that the proposed waveform...
Space-time adaptive processing (STAP) is a widely used technique for improving the performance of target detection in airborne radar system. It has been extensively researched and well-documented in the literature over the last few decades. With the development of sparse recovery and compressive sensing, STAP based on sparse recovery has attracted a lot of attention of researchers due to its advantage...
Frequency diverse array (FDA) radar has attracted a lot of attention recently owing to its unique beam pattern and potential ability of completing multiple tasks simultaneously. Generally, FDA radar employs a small frequency offset across the transmit elements of the array in order to generate the range-angle-time-dependent beam pattern. With respect to the receiver architecture for FDA radar, there...
This paper proposes a knowledge-aided shrinkage interference covariance matrix estimation approach in space time adaptive processing (STAP) which exploits the prior interference covariance matrix based on clutter model as the shrinkage target matrix. The oracle shrinkage coefficient under Gaussian assumption is derived and the estimated consistent shrinkage coefficient is also provided since the true...
The moving target in low frequency SAR is usually flooded in the clutter spectrum and has low SCR (signal to clutter ratio). Furthermore locating moving target in the single-channel low frequency SAR (Synthetic Aperture Radar) will meet the problem of "azimuth position uncertainty". This paper solved this problem by the azimuth antenna pattern. It deduces the relationship between the 2-dimensional...
This paper proposes a novel Knowledge-Aided Space-Time Adaptive Processing (KA-STAP) approach which uses azimuth sub-look Synthetic Aperture Radar (SAR) images to improve the interference covariance matrix estimation. The proposed approach extracts the azimuth scattering information of ground clutter scatters from the azimuth sub-look SAR images and improves the interference covariance matrix estimation...
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