Waveform engineering analysis of photoacoustic radar chirp parameters for spatial resolution and SNR optimization
| Autor: | Andreas Mandelis, Natalie Baddour, Zuwen Sun |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Acoustics
Physics::Medical Physics lcsh:QC221-246 Physics::Optics 02 engineering and technology 01 natural sciences law.invention 010309 optics law 0103 physical sciences Chirp Waveform lcsh:QC350-467 Radiology Nuclear Medicine and imaging Center frequency Radar Image resolution Physics Matched filter Bandwidth (signal processing) 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics lcsh:QC1-999 Pulse compression lcsh:Acoustics. Sound 0210 nano-technology lcsh:Physics lcsh:Optics. Light Research Article |
| Zdroj: | Photoacoustics, Vol 14, Iss, Pp 49-66 (2019) |
| ISSN: | 2213-5979 |
| Popis: | Recent developments in photoacoustics have witnessed the implementation of a radar matched-filtering methodology into the continuous wave photoacoustic modality. The main merit of using matched filtering in continuous photoacoustics is the improvement in signal to noise ratio (SNR), but the correlation process may result in a loss of resolution. It is possible to enhance both SNR and resolution by matched-filtering and pulse compression with a frequency chirp. However, the theory behind the effect of the chirp parameters on both SNR and resolution is still not clear. In this paper, the one-dimensional theory of the photoacoustic radar with a pulse compressed linear frequency modulated sinusoidal laser chirp is developed. The effect of the chirp parameters on the corresponding photoacoustic signal is investigated, and guidelines for choosing the chirp parameters for resolution and SNR optimization are given based on theory and simulations. The results show that by judiciously manipulating the center frequency, bandwidth, and duration, the resolution and SNR can be easily enhanced. Keywords: Frequency-domain photoacoustics, Pulse compression, Autocorrelation, Matched-filter |
| Databáze: | OpenAIRE |
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