MIMO Radar Sparse Recovery Imaging with Wideband Interference Prediction

Author:

Pu TaoORCID,Tong Ningning,Feng WeikeORCID,Wan PengchengORCID,Hu Xiaowei

Abstract

Multiple-input multiple-output (MIMO) radar three-dimensional (3D) imaging is widely applied in military and civil fields. However, MIMO is easily affected by wideband interference (WBI). To solve this problem, in this study, we propose a sparse recovery imaging method with WBI prediction based on the predictive recurrent neural network (PredRNN) and the tensor-based smooth L0 (TSL0) algorithm. Firstly, we extract the time-frequency (TF) feature of the historical measured WBI via the short-time Fourier transform (STFT) operation. In this way, we can use PredRNN to exploit the spatiotemporal correlation of the WBI in the TF domain to predict the TF feature of the WBI in the future. Then, we adaptively design the random sparse stepped frequency waveform by selecting non-overlapped frequencies with the WBI according to the predicted WBI TF feature. Finally, we apply the TSL0 algorithm to reconstruct the 3D high-resolution target image from the sparse signal cube. Simulation results show the high performance and robustness of the proposed imaging method in the presence of different WBIs.

Funder

National Natural Science Foundation of China

Young Talent fund of University Association for Science and Technology in Shaanxi, China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference27 articles.

1. MIMO radar: An idea whose time has come;Fishler;Proceedings of the 2004 IEEE Radar Conference,2004

2. Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution;Bliss;Proceedings of the Thirty-Seventh Asilomar Conference on Signals, Systems & Computers,2003

3. Super‐resolution 3D imaging in MIMO radar using spectrum estimation theory

4. Cognitive MIMO Imaging Radar Based on Doppler Filtering Waveform Separation

5. 3-D Ground-Based Imaging Radar Based on C-Band Cross-MIMO Array and Tensor Compressive Sensing

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