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Range-spread target detection using the time-frequency feature based on sparse representation.
- Source :
-
International Journal of Electronics . Aug2018, Vol. 105 Issue 8, p1388-1398. 11p. - Publication Year :
- 2018
-
Abstract
- The wideband radar transmitting the linear frequency modulation signal often processes its echoes by the stretched processing. This paper deals with the range-spread target detection in white complex Gaussian noise. Here, we propose a new detection method for the range-spread target based on sparse representation, which selects the time-frequency feature to realise the target detection. It can be simply described as follows: first, the sketched signal is reconstructed from its noisy measurements by basis pursuit de-noising (BPDN); scatterers on the target are determined by its reconstruction and used to calculate the Wigner distribution; for the target embedded in noise, the time-frequency feature in its power-density spectrum is compared with the decision threshold. Meanwhile, the median absolute deviation (MAD) is adopted to estimate the noise variance. The mainly novelties can be concluded as follows: the Fourier matrix is selected to sparsely represent the sketched signal; the sparsity is used to improve the SNR of the received echoes; the Wigner transform is utilised to acquire the time-frequency feature of the range-spread target. Both the optimisation theory and time-frequency representation are introduced to solve the target detection problem. Experimental results on the raw data show that the proposed detector outperforms the conventional methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207217
- Volume :
- 105
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- International Journal of Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 129527843
- Full Text :
- https://doi.org/10.1080/00207217.2018.1440436