Abstract
Signal detection is the key technology for the high precision of laser Doppler velocimetry (LDV) system. In order to achieve the accurate detection of the weak Doppler signal in LDV, we carried out a band-stop filtering toward the Doppler signal on the ground of the statistical characteristics of the noise in frequency domain. Combined with the constant false alarm rate (CFAR) detection technology of radar, an algorithm of adaptive threshold detection based on the sum of unit square in frequency domain is proposed so as to address the difficulty in signal detection within the atmosphere of low signal noise ratio (SNR), improving the detection performance and decreasing the probability of false alarm. Compared with the fixed threshold through simulations and experiments, this algorithm boasts the advantage of complete detection under the circumstance of SNR -12 dB while maintaining a relatively lower false alarm rate and simple operation as well as great applicability.
| Original language | English |
|---|---|
| Pages (from-to) | 992-997 |
| Number of pages | 6 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2017 |
Keywords
- Adaptive threshold
- Constant false alarm rate (CFAR)
- Laser Doppler velocimetry (LDV) system
- Low signal noise ratio (SNR)
- Signal detection in frequency domain
Fingerprint
Dive into the research topics of 'Adaptive threshold detection algorithm of LDV system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver