ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS
Purpose: Efficiency analysis of an optimal algorithm of chirp signal processing based on the chirplet transform as applied to detection of radar targets in uniformly accelerated motion. Design/methodology/approach: Standard methods of the optimal filtration theory are used to investigate the ambi...
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| Format: | Article |
| Language: | English |
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National Academy of Sciences of Ukraine, Institute of Radio Astronomy
2017-06-01
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| Series: | Radio Physics and Radio Astronomy |
| Subjects: | |
| Online Access: | http://rpra-journal.org.ua/index.php/ra/article/view/1266 |
| _version_ | 1818514138985398272 |
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| author | V. G. Galushko D. M. Vavriv |
| author_facet | V. G. Galushko D. M. Vavriv |
| author_sort | V. G. Galushko |
| collection | DOAJ |
| description | Purpose: Efficiency analysis of an optimal algorithm of chirp signal processing based on the chirplet transform as applied to detection of radar targets in uniformly accelerated motion.
Design/methodology/approach: Standard methods of the optimal filtration theory are used to investigate the ambiguity function of chirp signals.
Findings: An analytical expression has been derived for the ambiguity function of chirp signals that is analyzed with respect to detection of radar targets moving at a constant acceleration. Sidelobe level and characteristic width of the ambiguity function with respect to the coordinates frequency and rate of its change have been estimated. The gain in the signal-to-noise ratio has been assessed that is provided by the algorithm under consideration as compared with application of the standard Fourier transform to detection of chirp signals against a “white” noise background. It is shown that already with a comparatively small (<20) number of processing channels (elementary filters with respect to the frequency change rate) the gain in the signal-tonoise ratio exceeds 10 dB. A block diagram of implementation of the algorithm under consideration is suggested on the basis of a multichannel weighted Fourier transform. Recommendations as for selection of the detection algorithm parameters have been developed.
Conclusions: The obtained results testify to efficiency of application of the algorithm under consideration to detection of radar targets moving at a constant acceleration. Nevertheless, it seems expedient to perform computer simulations of its operability with account for the noise impact along with trial measurements in real conditions. |
| first_indexed | 2024-12-11T00:11:36Z |
| format | Article |
| id | doaj.art-2e3073396f7a4d168d44fc0d1a1b3cf0 |
| institution | Directory Open Access Journal |
| issn | 1027-9636 2415-7007 |
| language | English |
| last_indexed | 2024-12-11T00:11:36Z |
| publishDate | 2017-06-01 |
| publisher | National Academy of Sciences of Ukraine, Institute of Radio Astronomy |
| record_format | Article |
| series | Radio Physics and Radio Astronomy |
| spelling | doaj.art-2e3073396f7a4d168d44fc0d1a1b3cf02022-12-22T01:28:08ZengNational Academy of Sciences of Ukraine, Institute of Radio AstronomyRadio Physics and Radio Astronomy1027-96362415-70072017-06-0122215716510.15407/rpra22.02.157ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETSV. G. Galushko0D. M. Vavriv1Institute of Radio Astronomy, National Academy of Sciences of Ukraine, 4, Mystetstv St., Kharkiv, 61002, UkraineInstitute of Radio Astronomy, National Academy of Sciences of Ukraine, 4, Mystetstv St., Kharkiv, 61002, UkrainePurpose: Efficiency analysis of an optimal algorithm of chirp signal processing based on the chirplet transform as applied to detection of radar targets in uniformly accelerated motion. Design/methodology/approach: Standard methods of the optimal filtration theory are used to investigate the ambiguity function of chirp signals. Findings: An analytical expression has been derived for the ambiguity function of chirp signals that is analyzed with respect to detection of radar targets moving at a constant acceleration. Sidelobe level and characteristic width of the ambiguity function with respect to the coordinates frequency and rate of its change have been estimated. The gain in the signal-to-noise ratio has been assessed that is provided by the algorithm under consideration as compared with application of the standard Fourier transform to detection of chirp signals against a “white” noise background. It is shown that already with a comparatively small (<20) number of processing channels (elementary filters with respect to the frequency change rate) the gain in the signal-tonoise ratio exceeds 10 dB. A block diagram of implementation of the algorithm under consideration is suggested on the basis of a multichannel weighted Fourier transform. Recommendations as for selection of the detection algorithm parameters have been developed. Conclusions: The obtained results testify to efficiency of application of the algorithm under consideration to detection of radar targets moving at a constant acceleration. Nevertheless, it seems expedient to perform computer simulations of its operability with account for the noise impact along with trial measurements in real conditions.http://rpra-journal.org.ua/index.php/ra/article/view/1266target detectionoptimal filteringchirplet transformambiguity functionsignal-to-noise ratio |
| spellingShingle | V. G. Galushko D. M. Vavriv ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS Radio Physics and Radio Astronomy target detection optimal filtering chirplet transform ambiguity function signal-to-noise ratio |
| title | ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS |
| title_full | ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS |
| title_fullStr | ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS |
| title_full_unstemmed | ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS |
| title_short | ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS |
| title_sort | analysis of the chirplet transform based algorithm for radar detection of accelerated targets |
| topic | target detection optimal filtering chirplet transform ambiguity function signal-to-noise ratio |
| url | http://rpra-journal.org.ua/index.php/ra/article/view/1266 |
| work_keys_str_mv | AT vggalushko analysisofthechirplettransformbasedalgorithmforradardetectionofacceleratedtargets AT dmvavriv analysisofthechirplettransformbasedalgorithmforradardetectionofacceleratedtargets |