Name
Title | ||
|---|---|---|
Subspace projection semi-real-valued MVDR algorithm based on vector sensors array processing |
Abstract | ||
|---|---|---|
The existing SRV-MVDR (semi-real-valued MVDR) algorithm is only applicable to the pressure sensors array and cannot distinguish between mirror radiation sources and real source (DOA fuzzy), and this paper presents a method of vector sensors array SRV-MVDR based on subspace projection. Compared with the existing SRV-MVDR, only half spectrum search is needed to solve the DOA fuzzy problem. No subsequent discrimination is needed. The data collected by vector sensors array are processed jointly by using the idea of dimensionality reduction so that it satisfies the processing condition of SRV-MVDR method. Theoretical analysis and computer simulation show that this method has robustness. At the same time, it is more suitable for low SNR and small snapshots and has broad prospects in practical engineering. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s00521-018-3791-8 | Neural Computing and Applications |
Keywords | Field | DocType |
DOA, Vector sensors array, SRV-MVDR, Half spectrum search | Array processing,Dimensionality reduction,Subspace topology,Fuzzy logic,Algorithm,Robustness (computer science),Pressure sensor,Snapshot (computer storage),Mathematics | Journal |
Volume | Issue | ISSN |
32 | 1 | 1433-3058 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||