In order to solve the problems of slow imaging speed and poor reconstruction accuracy of wall parameters under the condition of wall parameter fuzziness, an improved limited Broyden–Fletcher–Goldfarb–Shanno-particle swarm optimisation (LBFGS-PSO) algorithm was proposed. The LBFGS-PSO algorithm model solves the problems of slow calculation speed and large errors of the traditional quasi-Newton algorithm and particle swarm algorithm. The algorithm combined with block orthogonal matching pursuit algorithm can not only accurately reconstruct the position of the sidewall, but also can use the multi-path information to accurately reconstruct the moving target and the stationary target. Compared with the traditional BFGS algorithm and PSO algorithm, the proposed algorithm can reduce the calculation time and provide more accurate estimation results. Simulation results and data analysis verify the performance of the proposed algorithm.

References

1. 1)
  - 16. Leigsnering, M., Amin, M., Ahmad, F., et al: ‘Multipath exploitation and suppression for SAR imaging of building interiors: an overview of recent advances’, IEEE Signal Process. Mag., 2014, 31, (4), pp. 110–119.
2. 2)
  - 10. Mansour, H., Liu, D.: ‘Blind multi-path elimination by sparse inversion in through-the-wall- imaging’. IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Bari, Italy, 2013, pp. 256–259.
3. 3)
  - 7. Gennarelli, G., Soldovieri, F.: ‘A linear inverse scattering algorithm for radar imaging in multipath environments’, IEEE Geosci. Remote Sens. Lett., 2013, 10, (5), pp. 1085–1089.
4. 4)
  - 19. Sun, Y., Zhang, S., Cui, Z.: ‘Group sparsity based imaging algorithm for TWRI under wall parameter uncertainties’, Trans. Inst. Meas. Control, 2018, 40, (1), pp. 251–260.
5. 5)
  - 6. Tan, Q., Leung, H., Song, Y., et al: ‘Multipath ghost suppression for through-the-wall radar’, IEEE Trans. Aerosp. Electron. Syst., 2014, 50, (3), pp. 2284–2292.
6. 6)
  - 17. Leigsnering, M., Ahmad, F., Amin, M., et al: ‘Multipath exploitation in through-the-wall radar imaging using sparse reconstruction’, IEEE Trans. Aerosp. Electron. Syst., 2014, 50, (2), pp. 920–939.
7. 7)
  - 3. Amin, M.G., Ahmad, F.: ‘Wideband synthetic aperture beamforming for through-the-wall imaging’, IEEE Signal Process. Mag., 2008, 25, (4), pp. 110–113.
8. 8)
  - 22. Kadry, K.A., Ahmad, F., Amin, M.G.: ‘Sparsity-based moving target localization using multiple dual-frequency radars under phase errors’. SPIE Sensing Technology Applications, Int. Society for Optics and Photonics, Beijing, China, 2015.
9. 9)
  - 4. Jie, L.J., Ouyang, S., Yang, J., et al: ‘A study on ultra wideband through-wall radar imaging technology’, Mod. Rad., 2012, 34, (5), pp. 35–39.
10. 10)
  - 13. Gennarelli, G., Vivone, G., Braca, P., et al: ‘Comparative analysis of two approaches for multipath ghost suppression in radar imaging’, IEEE Geosci. Remote Sens. Lett., 2016, 13, (9), pp. 1226–1230.
11. 11)
  - 14. Leigsnering, M., Ahmad, F., Amin, M.G., et al: ‘Compressive sensing based specular multipath exploitation for through-the-wall radar imaging’. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013, pp. 6004–6008.
12. 12)
  - 18. Setlur, P., Amin, M., Ahmad, F.: ‘Multipath model and exploitation in through-the-wall and urban radar sensing’, IEEE Trans. Geosci. Remote Sens., 2011, 49, (10), pp. 4021–4034.
13. 13)
  - 2. Amin, M.G.: ‘Through-the-wall imaging radar antenna unit, array and system’, in Amin, M.G. (Ed.): ‘Through-the-wall radar imaging’ (CRC Press, Boca Raton, FL, USA, 2011), pp. 78–96.
14. 14)
  - 15. Leigsnering, M., Ahmad, F., Amin, M.G., et al: ‘CS based specular multipath exploitation in TWRI under wall position uncertainties’. Sensor Array and Multichannel Signal Processing Workshop, A Coruña, Spain, 2014, pp. 481–484.
15. 15)
  - 9. Abdalla, A.T., Muqaibel, A.H., Al-Dharrab, S.: ‘Aspect dependent multipath ghost suppression in TWRI under compressive sensing framework’. Int. Conf. on Communications, Signal Processing, and Their Applications, Sfax, Tunisia, 2015, pp. 1–6.
16. 16)
  - 8. Muqaibel, A.H., Abdalla, A.T., Alkhodary, M.T., et al: ‘Aspect-dependent efficient multipath ghost suppression in TWRI with sparse reconstruction’, Int. J. Microw. Wireless Tech., 2017, 9, (9), pp. 1–14.
17. 17)
  - 5. Chen, X., Chen, W.: ‘Multipath ghost elimination for through-wall radar imaging’, Radar Sonar Navig., 2016, 10, (2), pp. 299–310.
18. 18)
  - 11. Tan, Q., Song, Y.: ‘A new method for multipath interference suppression in through-the-wall UWB radar imaging’. IEEE Int. Conf. on Advanced Computer Control, Shenyang, China, 2010, vol. 5, pp. 535–540.
19. 19)
  - 1. Dionisio, C.R.P., Tavares, S., Perotoni, M., et al: ‘Experiments on through wall imaging using ultra wideband radar’, Microw. Opt. Tech. Lett., 2011, 54, (2), pp. 339–344.
20. 20)
  - 21. Leigsnering, M., Ahmad, F., Amin, M.G., et al: ‘Compressive sensing-based multipath exploitation for stationary and moving indoor target localization’, IEEE. J. Sel. Top. Signal. Process., 2015, 9, (8), pp. 1469–1483.
21. 21)
  - 20. Wu, S., Fang, G.: ‘Detection and tracking of moving target behind wall using UWB through-wall radar’. Int. Conf. on Intelligent System Design and Engineering Application, Changsha, Hunan, China, 2010, pp. 605–608.
22. 22)
  - 12. Wang, J., Wang, P., Li, Y., et al: ‘A multipath suppression technique for through-the-wall radar’. IEEE Int. Conf. on Ultra-Wideband, Sydney, Australia, 2013, pp. 215–220.

Through-the-wall radar imaging algorithm for moving target under wall parameter uncertainties

References

Related content