access icon openaccess Two-dimensional FFT and two-dimensional CA-CFAR based on ZYNQ

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 19/02/2019, Accepted 02/05/2019, Published 30/05/2019

Here, two-dimensional FFT and two-dimensional CA-CFAR are combined to process echoes of LFMCW radar based on ZYNQ, which are implemented on hardware, using parallel feature of ZYNQ to improve processing speed. With the high accurate information of two-dimensional FFT and two-dimensional CA-CFAR, the velocity and range information of echo signal is extracted. The coupling problem of velocity and range is solved and the situation of alarm leakage in multi-target is avoided. First, the basic form of the LFMCW signal is introduced. Then, the implementation flow of 2D-FFT and 2D CA-CFAR is described in detail. At last, the conclusion is given by analysing the results of the tested data processed by ZYNQ and is compared with 1D-FFT combined with 1D-CFAR.

Inspec keywords: radar computing; CW radar; radar signal processing; radar clutter; radar detection; FM radar; fast Fourier transforms

Other keywords: range information; two-dimensional CA-CFAR; velocity; 2D-FFT; high accurate information; 1D-CFAR; two-dimensional FFT; ZYNQ

Subjects: Other topics in statistics; Radar equipment, systems and applications; Electrical engineering computing; Signal detection; Radar theory; Digital signal processing; Integral transforms; Signal processing and detection; Communications computing

References

    1. 1)
      • 5. Rohling, H.: ‘Radar CFAR thresholding in clutter and multiple target situations’, IEEE Trans. Aerosp. Electron. Syst., 1983, AES-19, (4), pp. 608–621.
    2. 2)
      • 6. Kronauge, M., Rohling, H.: ‘Fast two-dimensional CFAR procedure’, IEEE Trans. Aerosp. Electron. Syst., 2013, 49, (3), pp. 1817–1823.
    3. 3)
      • 7. Yan, J., Li, X., Shao, Z.: ‘Intelligent and fast two-dimensional CFAR procedure’. 2015 IEEE Int. Conf. Communication Problem-Solving (ICCP), Guilin, China, 2015, pp. 461–463.
    4. 4)
      • 1. Stove, A.G.: ‘Linear FMCW radar techniques’, IEE Proc. F (Radar Signal Process.), 1992, 139, (5), pp. 343–350.
    5. 5)
      • 10. He, Y.: ‘Performance of some generalised modified order statistics CFAR detectors with automatic censoring technique in multiple target situations’, IEE Proc. Radar Sonar Navig., 1994, 141, (4), pp. 205–212.
    6. 6)
      • 8. Kai-bo, C., Xi, C., Wei-wei, W., et al: ‘A kind of millimeter wave broadband system for recognizing and tracking the sea fleet targets quickly’. 2015 IEEE Int. Conf. Signal Processing Communications and Computing (ICSPCC), Ningbo, People's Republic of China, 2015, pp. 1–4.
    7. 7)
      • 4. Yi, J.H., Lee, I., Shbat, M.S., et al: ‘24 GHz FMCW radar sensor algorithms for car applications’. Radar Symp., Leipzig, Germany, 2011, pp. 465–470.
    8. 8)
      • 9. Li, S., Bi, X., Huang, L., et al: ‘2-D CFAR procedure of multiple target detection for automotive radar’, SAE Int. J. Passenger Cars – Electron. Electr. Syst., 2017, 11, (1), pp. 67–75.
    9. 9)
      • 2. Ding, Y., Tang, J.: ‘Micro-Doppler trajectory estimation of pedestrians using a continuous-wave radar’, IEEE Trans. Geosci. Remote Sens., 2014, 52, (9), pp. 5807–5819.
    10. 10)
      • 3. Reznicek, M., Bezousek, P.: ‘Commercial CW Doppler radar design and application’. 27th Int. Conf. Radioelektronika (RADIOELEKTRONIKA), Brno, Czech Republic, April 2017, pp. 1–5.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2019.0201
Loading

Related content

content/journals/10.1049/joe.2019.0201
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading