Results 21 to 30 of about 20,153,829 (205)
Suppression of Jammer Multipath in GNSS Antenna Array Receiver
Remote Sensing, 2022 Interference multipath is an important factor to affect the anti-jamming performance for the global navigation satellite system (GNSS) antenna array receiver. However, interference multipath must be considered in practical application. In this paper, the
Long Huang +5 more
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The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments [PDF]
, 2008 The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix Ms of the secondary data is proportional to the covariance matrix Mp of the vector ...
Bidon, Stéphanie +2 more
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Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments
Remote Sensing, 2023 In the coherent signal environments caused by multipath propagation, the interference suppression performance of the global navigation satellite systems (GNSS) receivers decreases sharply.
Zhen Meng, Feng Shen
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Leida xuebao, 2016 The unified theoretical frame of a joint transmitter-receiver reduced dimensional Space-Time Adaptive Processing (STAP) method is studied for an airborne Multiple-Input Multiple-Output (MIMO) radar.
Guo Yiduo +3 more
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Knowledge-aided bayesian detection in heterogeneous environments [PDF]
, 2007 We address the problem of detecting a signal of interest in the presence of noise with unknown covariance matrix, using a set of training samples. We consider a situation where the environment is not homogeneous, i.e., when the covariance matrices of the
Bidon, Stéphanie +7 more
core +1 more source
IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
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Space-time Adaptive FIR Filtering with Staggered PRI
, 2022 Space-time adaptive processing (STAP) has been recognized as an indispensable tool for detection of moving targets by air- or space borne MIT radar.
Klemm, R.
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Robust STAP With Reduced Mutual Coupling and Enhanced DOF Based on Super Nested Sampling Structure
IEEE Access, 2019 In practical airborne radar, mutual coupling between array elements usually leads to space-time steering vector distortion for space-time adaptive processing (STAP), which seriously degrades radar performance.
Mingxin Liu, Xuegang Wang, Lin Zou
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A Robust STAP Method Based on Alternating Projection and Clutter Cancellation
IEEE Access, 2019 Space-time steering vector mismatch of targets usually happens in the space-time adaptive processing (STAP) technique, causing space-time beam distortion. Due to the effects of clutter spectrum broadening and jamming, performance of the conventional STAP
Ningkang Chen, Ping Wei, Xiaoyu Ai
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Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar
Leida xuebao, 2022 The clutter of space-based early warning radar exhibits tight coupling in the azimuth-elevation-Doppler domain due to the high speed of satellites and the Earth’s rotation.
Keqing DUAN +4 more
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