Your English writing platform
Free sign upSuggestions(5)
Exact(6)
Deterministic-aided (DA) single dataset (SDS) space-time adaptive processing (STAP) based on sparse recovery (SR).
In this paper, we propose a novel deterministic-aided (DA) single dataset (SDS STAPP method based on sparse recovery (SR) technique, which is abbreviated to DA-SDS-SRSTAP, for side-looking airborne or spaceborne radar in heterogeneous clutter environments.
To improve the performance of STAP in heterogeneous environments, a novel deterministic-aided (DA) single dataset STAP method based on sparse recovery technique (SR) is proposed in this paper.
For solving this problem, a novel deterministic-aided single dataset STAP method based on sparse recovery technique (SR) for side-looking airborne or spaceborne radar is proposed in this paper, which is referred to as DA-SDS-SRSTAP.
We exploit the property of the clutter of side-looking airborne or spaceborne radar and propose a novel deterministic-aided (DA) single dataset (SDS) STAP method based on sparse recovery (SR) technique.
In the next section, a novel deterministic-aided single dataset STAP method based on sparse recovery (DA-SDS-SRSTAP) will be described in detail, which can overcome these problems in some extent to improve the detection performance in the heterogeneous radar scenario.
Similar(54)
Furthermore, based on sparse signal recovery, the amount of CSI feedback can be dramatically reduced as shown in [32, 33].
An array signal recovery algorithm based on sparse signal reconstruction theory is proposed for a single-RF-channel digital beamforming (DBF) array.
In this study, we propose a set of computational photography techniques based on sparse signal representation to remove optical aberrations, thereby allowing the recovery of images captured through a single-lens camera.
Many public health campaigns are based on sparse or outdated evidence.
Information regarding the diplomacy of early peoples is based on sparse evidence.
More suggestions(11)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com