An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System

In this paper, we propose an exact model-based method for near-field sources localization with a bistatic multiple input, multiple output (MIMO) radar system, and compare it with an approximated model-based method. The aim of this paper is to propose an efficient way to use the exact model of the received signals of near-field sources in order to eliminate the systematic error introduced by the use of approximated model in most existing near-field sources localization techniques. The proposed method uses parallel factor (PARAFAC) decomposition to deal with the exact model. Thanks to the exact model, the proposed method has better precision and resolution than the compared approximated model-based method. The simulation results show the performance of the proposed method.

[1]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[2]  Richard A. Harshman,et al.  Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .

[3]  José Tribolet,et al.  A new phase unwrapping algorithm , 1977 .

[4]  Parth Raj Singh,et al.  Bistatic MIMO radar for near field source localisation using PARAFAC , 2016 .

[5]  Karim Abed-Meraim,et al.  Exact conditional and unconditional Cramér-Rao bounds for near field localization , 2013, Digit. Signal Process..

[6]  Yide Wang,et al.  A high resolution method of source localization in near-field by using focusing technique , 2008, 2008 16th European Signal Processing Conference.

[7]  M. Omair Ahmad,et al.  Efficient Application of MUSIC Algorithm Under the Coexistence of Far-Field and Near-Field Sources , 2012, IEEE Transactions on Signal Processing.

[8]  Yide Wang,et al.  Simplified High-Order DOA and Range Estimation With Linear Antenna Array , 2017, IEEE Communications Letters.

[9]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[10]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[11]  Shen Di.  Localization for Near-Field Targets Based on Virtual Array of MIMO Radar , 2012 .

[12]  J. Kruskal.  Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics , 1977 .

[13]  Yong Wang,et al.  ISAR Imaging of Rotating Target with Equal Changing Acceleration Based on the Cubic Phase Function , 2008, EURASIP J. Adv. Signal Process..

[14]  Jun Li,et al.  Multitarget Identification and Localization Using Bistatic MIMO Radar Systems , 2008, EURASIP J. Adv. Signal Process..

[15]  T. Kailath,et al.  Passive direction-of-arrival and range estimation for near-field sources , 1988, Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling.

[16]  Michael Yan Wah Chia,et al.  Near-Field Source Localization via Symmetric Subarrays , 2007, IEEE Signal Processing Letters.

[17]  Nikos D. Sidiropoulos,et al.  Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar , 2010, IEEE Transactions on Signal Processing.

[18]  Andrzej Cichocki,et al.  Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis , 2014, IEEE Signal Processing Magazine.

[19]  Bo Wang,et al.  Mixed-Order MUSIC Algorithm for Localization of Far-Field and Near-Field Sources , 2013, IEEE Signal Processing Letters.

[20]  L.J. Cimini,et al.  MIMO Radar with Widely Separated Antennas , 2008, IEEE Signal Processing Magazine.

[21]  전창완,et al.  Total Least Squares , 2008 .

[22]  Yide Wang,et al.  Signal reconstruction for near-field source localisation , 2015, IET Signal Process..

[23]  Jian Li,et al.  MIMO Radar with Colocated Antennas , 2007, IEEE Signal Processing Magazine.

[24]  P. Stoica,et al.  The stochastic CRB for array processing: a textbook derivation , 2001, IEEE Signal Processing Letters.

[25]  Nikos D. Sidiropoulos,et al.  A PARAFAC-based technique for detection and localization of multiple targets in a MIMO radar system , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[26]  Peter Swerling,et al.  Probability of detection for fluctuating targets , 1960, IRE Trans. Inf. Theory.

[27]  Emmanuèle Grosicki,et al.  A weighted linear prediction method for near-field source localization , 2002, IEEE Transactions on Signal Processing.

[28]  G. Giannakis,et al.  A FAST LEAST SQUARES ALGORITHM FOR SEPARATING TRILINEAR MIXTURES , 2004 .

[29]  Han Qi,et al.  4-D parameter estimation in bistatic MIMO radar for near-field target localization , 2015, 2015 IEEE International Wireless Symposium (IWS 2015).