Performance Evaluation of DDMA MIMO Radar Detection in the Presence of Correlated Clutter

The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each transmitter. MIMO radar emits wide beam to observe a large area at once and to achieve a long illumination time, which can improve velocity and ang...

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Bibliographic Details
Published in:	2024 International Telecommunications Conference (ITC-Egypt) pp. 590 - 595
Main Authors:	Romeh, M. A., Moustafa, K. H., Ahmed, Fathy M., Mehany, Wael
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22-07-2024
Subjects:	Clutter correlated clutter models drone detection Gaussian distribution MIMO radar Multiple-Input Multiple-Output (MIMO) radar Radar cross-sections Receivers Telecommunications Transmitters waveform design
Online Access:	Get full text
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Summary:	The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each transmitter. MIMO radar emits wide beam to observe a large area at once and to achieve a long illumination time, which can improve velocity and angle resolution and mitigate the clutter effects to improve drones' detection. This paper investigates the effect of different correlated clutter models on the Doppler Division Multiple Access (DDMA) MIMO radar. This model is designed to generate two waveforms: Linear Frequency Modulation (LFM), or Nonlinear Frequency Modulation (NLFM) radar waveforms. The results obtained in this paper show that NLFM MIMO radar waveform enhances the detection performance of DDMA MIMO radar more than LFM MIMO radar waveform in the presence of different correlated clutter models for small RCS targets (drones).
DOI:	10.1109/ITC-Egypt61547.2024.10620585