Dynamic system for reference signal transmission and reconstruction in distributed MIMO radars

Reference signals (RSs) transmission and reconstruction are crucial in distributed multiple-input multiple-output (MIMO) radar systems. Common methods rely considerably on RF cable, optical fiber or laser, which are confined by the weak mobility, restricted visual distance or the limited bandwidth. Besides, broadcast transmitter is also widely used, but its inherent nature makes the systems more prone to security threats in electronic countermeasures (ECM). To tackle this problem, we consider radar RSs as part of a nonlinear network and propose a novel dynamic system solution to achieve waveform transmission and reconstruction in distributed MIMO radar systems. Through designing the nonlinear feedback control function properly, the RSs are reconstructed directly and precisely from the broadcast compressive signals. For those who cannot access to the priori information, it is extremely hard to complete signal reconstruction, indicating the system is of significant security in ECM. The simulations agree well with application requirements, proving the performance of the proposed solution.

[1]  Idnin Pasya,et al.  Joint Direction-of-Departure and Direction-of-Arrival Estimation in a UWB MIMO Radar Detecting Targets with Fluctuating Radar Cross Sections , 2014 .

[2]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[3]  Mohamed-Slim Alouini,et al.  MIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix , 2014, IEEE Transactions on Signal Processing.

[4]  Augusto Aubry,et al.  Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Shilong Pan,et al.  Distributed MIMO chaotic radar based on wavelength-division multiplexing technology. , 2015, Optics letters.

[6]  P. P. Vaidyanathan,et al.  MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms , 2008, IEEE Transactions on Signal Processing.

[7]  Merline Arulraj,et al.  MIMO radar waveform design with peak and sum power constraints , 2013, EURASIP Journal on Advances in Signal Processing.

[8]  S. Boccaletti,et al.  Synchronization of chaotic systems , 2001 .

[9]  Mojtaba Radmard,et al.  MIMO radar signal design to improve the MIMO ambiguity function via maximizing its peak , 2016, Signal Process..

[10]  Steven Kay,et al.  Iterative Method for Nonlinear FM Synthesis of Radar Signals , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[11]  S. Kay,et al.  Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation , 2007, IEEE Journal of Selected Topics in Signal Processing.

[12]  Keshab K. Parhi,et al.  Semiblind frequency-domain timing synchronization and channel estimation for OFDM systems , 2013, EURASIP J. Adv. Signal Process..

[13]  Chau Yuen,et al.  Adaptive Distributed MIMO Radar Waveform Optimization Based on Mutual Information , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[14]  Antonio De Maio,et al.  A Doppler Robust Max-Min Approach to Radar Code Design , 2010, IEEE Transactions on Signal Processing.

[15]  Xu Wang,et al.  Knowledge-Based Spatial-Temporal Hierarchical MIMO Radar Waveform Design Method for Target Detection in Heterogeneous Clutter Zone , 2015, IEEE Transactions on Signal Processing.

[16]  Ahmad Hoorfar,et al.  A Generalized Approach for SAR and MIMO Radar Imaging of Building Interior Targets With Compressive Sensing , 2015, IEEE Antennas and Wireless Propagation Letters.

[17]  Augusto Aubry,et al.  A Doppler Robust Design of Transmit Sequence and Receive Filter in the Presence of Signal-Dependent Interference , 2014, IEEE Transactions on Signal Processing.

[18]  Hongbin Li,et al.  MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints , 2014, IEEE Transactions on Signal Processing.

[19]  Mehdi Roopaei,et al.  Review article on adaptive synchronization of chaotic systems with unknown parameters , 2011 .

[20]  Olga I. Moskalenko,et al.  On the use of chaotic synchronization for secure communication , 2009 .

[21]  D. Fuhrmann,et al.  Transmit beamforming for MIMO radar systems using signal cross-correlation , 2008, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Hongbin Li,et al.  Transmit Subaperturing for MIMO Radars with Nested Arrays , 2017, Signal Process..

[23]  Lei Huang,et al.  Parameter estimation and identifiability in bistatic multiple-input multiple-output radar , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[24]  Jun Tang,et al.  Robust Design of Transmit Waveform and Receive Filter For Colocated MIMO Radar , 2015, IEEE Signal Processing Letters.

[25]  Mohammad Hassan Bastani,et al.  Design of multiple-input multiple-output transmit waveform and receive filter for extended target detection , 2015 .

[26]  Werner Wiesbeck,et al.  Spaceborne MIMO Synthetic Aperture Radar for Multimodal Operation , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Ishuwa C. Sikaneta,et al.  MIMO SAR Processing for Multichannel High-Resolution Wide-Swath Radars , 2014, IEEE Transactions on Geoscience and Remote Sensing.