DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
From MaRDI portal
Publication:784552
DOI10.1007/s11045-016-0425-0zbMath1448.94070OpenAlexW2417455501MaRDI QIDQ784552
Sirajudeen Gulam Razul, A. Anil Kumar, Zhiping Lin, Yuanjin Zheng, Jian-Shu Li, Chong-Meng Samson See
Publication date: 3 August 2020
Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11045-016-0425-0
Related Items (2)
Mixed near-field and far-field source localization revised: propagation loss included ⋮ Editorial: Array signal processing and systems
Uses Software
Cites Work
- Unnamed Item
- Two-dimensional DOA estimation for acoustic vector-sensor array using a successive MUSIC
- A novel wideband DOA estimator based on Khatri-Rao subspace approach
- On the virtual array concept for the fourth-order direction finding problem
- Maximum-likelihood narrow-band direction finding and the EM algorithm
- Signal Reconstruction From Noisy Random Projections
- Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
- MUSIC, maximum likelihood, and Cramer-Rao bound
- DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace Approach
- Single Antenna Power Measurements Based Direction Finding
- Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint
- High-Resolution Direction Finding From Higher Order Statistics: The$2rm q$-MUSIC Algorithm
- On the virtual array concept for higher order array processing
- A sparse signal reconstruction perspective for source localization with sensor arrays
- Compressed sensing
This page was built for publication: DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
