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Weighted Space-Frequency Time-Reversal Imaging for Multiple Targets
- Source :
- IEEE Signal Processing Letters. 26:858-862
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- To address the problem of imaging instability when space-frequency (SF) time-reversal (TR) imaging algorithm chooses different ranks of signal subspaces in TR imaging for multiple targets, a modified SF-TR is proposed in this letter, termed W-SF-TR, in which the vectors of noise subspace are weighted to provide the imaging stability. The simulation results show that W-SF-TR significantly reduces the sensitivity of imaging to different ranks, and improves the image resolution as well.
- Subjects :
- Computer science
Noise (signal processing)
Applied Mathematics
020206 networking & telecommunications
02 engineering and technology
Linear subspace
Signal-to-noise ratio
Computer Science::Computer Vision and Pattern Recognition
Radar imaging
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Sensitivity (control systems)
Electrical and Electronic Engineering
Image resolution
Algorithm
Subspace topology
Weighted space
Subjects
Details
- ISSN :
- 15582361 and 10709908
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- IEEE Signal Processing Letters
- Accession number :
- edsair.doi...........0524ad44ae43383bfe44b1f9c3a51155