Three‐dimensional sparse recovery space‐time adaptive processing for airborne radar
نویسندگان
چکیده
منابع مشابه
Airborne Radar STAP using Sparse Recovery of Clutter Spectrum
Space-time adaptive processing (STAP) is an effective tool for detecting a moving target in spaceborne or airborne radar systems. Statistical-based STAP methods generally need sufficient statistically independent and identically distributed (IID) training data to estimate the clutter characteristics. However, most actual clutter scenarios appear only locally stationary and lack sufficient IID t...
متن کاملA Sparse Approach to Partially Adaptive Airborne Radar
This paper is concerned with linearly constrained minimum variance (LCMV) beamforming. Partially adaptive LCMV beamformers are designed by determining a transformation which maps the fully adaptive weight space into a lower dimension partially adaptive weight space, usually so that some set of performance measures is optimised. One common method is to utilise the eigenvectors associated with th...
متن کاملAdaptive Sampling for Sparse Recovery
Consider n data sequences, each consisting of independent and identically distributed elements drawn from one of the two possible zero-mean Gaussian distributions with variances A0 and A1. The problem of quickly identifying all of the sequences with varianceA1 is considered and an adaptive two-stage experimental design and testing procedure is proposed. The agility and reliability gains in comp...
متن کاملSpace-time Adaptive Processing Based on Weighted Regularized Sparse Recovery
In this paper, novel space-time adaptive processing algorithms based on sparse recovery (SR-STAP) that utilize weighted l1-norm penalty are proposed to further enforce the sparsity and approximate the original l0-norm. Because the amplitudes of the clutter components from different snapshots are random variables, we design the corresponding weights according to two different ways, i.e., the Cap...
متن کاملSpace-Time Adaptive Monopulse Processing for Airborne Radar in Non-homogeneous Environments
Space-Time Adaptive Processing (STAP) can be used in combination with monopulse techniques for the estimation of spatial and temporal parameters of moving targets in airborne radar. However, in non-homogeneous environment, the available amount of secondary data which have the same statistical characteristics with the clutter in the primary data is very limited. In this case, the optimum STAP is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2019.0343