volume | PIER Journals

Abstract

Through wall radar imaging and detection applications are growing significantly. However, the target response is usually accompanied with a strong clutter which veils the target detection. In this paper, a new algorithm is proposed for clutter reduction and target downrange correction in through wall monostatic radar imaging. The proposed algorithm arranges the received radar signals in a matrix and then splits this matrix to frames. The frames are individually processed and filtered in frequency domain, then they are returned to time domain and merged together in a new matrix. The final step is enhancing the target response via a matched filter. The proposed algorithm performance is evaluated by target to clutter ratio (TCR), signal to clutter ratio (SCR), and downrange target position error (DTPE) in three different simulated scenarios. The simulation results exhibit the proposed algorithm capability in both removing the clutter and adjusting the target downrange to be with an evident appearance and accurate position. In the most complicated scenario which consists of two separated walls and a target behind them, using the proposed algorithm improves the performance in terms of TCR, SCR and DTPE by 49.7 dB, 70.7 dB, and, 7.6% respectively.

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Dr. Dheyaa T. Al-Zuhairi

Dr. Abbas Salman Hameed

Dr. Sura F. Yousif