Adaptive detection of distributed targets in Gaussian clutter based on multiple a-priori spectral models
DOI10.1007/S00034-016-0300-0zbMath1368.93698OpenAlexW2319407365MaRDI QIDQ2398244
Na Li, Haining Yang, Guolong Cui, Lingjiang Kong, Yun Zhou
Publication date: 15 August 2017
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-016-0300-0
adaptive detectiondistributed targetinverse covariance matrix estimationmultiple a-priori spectral models
Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Stochastic learning and adaptive control (93E35)
Cites Work
- Unnamed Item
- AR-model-based adaptive detection of range-spread targets in compound Gaussian clutter
- Lectures on Modern Convex Optimization
- Determinant Maximization with Linear Matrix Inequality Constraints
- Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference
- GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference
- Adaptive Detection of Distributed Targets in Compound-Gaussian Noise Without Secondary Data: A Bayesian Approach
- Radar Detection of Distributed Targets in Homogeneous Interference Whose Inverse Covariance Structure is Defined via Unitary Invariant Functions
This page was built for publication: Adaptive detection of distributed targets in Gaussian clutter based on multiple a-priori spectral models