Results 31 to 40 of about 363 (153)
A Joint Sparse Space-Time Adaptive Processing Method
IEEE AccessAt present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered ...
Jinfeng Hu +4 more
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Space-Time Adaptive Processing by Employing Structure-Aware Two-Level Block Sparsity
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Traditional radar space-time adaptive processing (STAP) cannot efficiently suppress heterogeneous clutter because of a small number of independent and identically distributed training snapshots.
Zhizhuo Jiang +4 more
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Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP)
CoRR, 2016 Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP). The disturbance covariance matrix should be inferred from training sample observations in practice. Large number of homogeneous training samples are generally not available because of difficulty of guaranteeing target free ...
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Frontiers in Physics, 2023 Fog computing has been applied to the data processing for the Internet of Things (IoT) based on distributed high-precision Global Navigation Satellite Systems (GNSS).
Fang Hao +6 more
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Remote Sensing, 2022 Space-time adaptive processing (STAP) is a fundamental topic in airborne radar applications due to its clutter suppression ability. Reduced-dimension (RD)-STAP can release the requirement of the number of training samples and reduce the computational ...
Di Song +4 more
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Anti-jamming method for STAP based on a bi-phase random-coded signal
The Journal of Engineering, 2019 The scattered-wave sweeping frequency jamming occupies many space-time adaptive processing (STAP) degrees of freedom, which results in a serious decline in STAP performance. To solve this problem, an anti-jamming method of STAP based on a bi-phase random-
Weijie Ye +3 more
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Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques
International Journal of Antennas and Propagation, 2015 We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications.
Zhaocheng Yang +4 more
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Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation
IEEE Access, 2019 End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensation ...
Yongwei Li +3 more
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Progress In Electromagnetics Research C, 2013 Space-Time Adaptive Processing (STAP) algorithm has recently been used in Passive Bi-static Radars (PBR) because it removes the clutter and non-cooperative transmitter efiectively making the target detection easy in harsh environments like air-ground. Real- time implementation of STAP is a very challenging task as it is computationally-intensive, time ...
Zia Ul Mahmood +3 more
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Range Recursive Space-Time Adaptive Processing (Stap) For Mimo Airborne Radar
, 2009 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
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