|Article title||SERIAL METHOD FOR MIMO CHANNELS FORMATION AT RADAR-TRACKING OBJECTS PARAMETERS MEASUREMENT|
|Authors||V.T. Lobach, A.O. Kasyanov, M.V. Potipak, V.A. Alokhin, C.V. Sumatokhin|
|Section||SECTION IV. CONTROL AND MANAGEMENT IN TECHNICAL SYSTEMS|
|Month, Year||11, 2015 @en|
|Abstract||Recently, there has been increased interest in the use of Multiple Input Multiple Output (MIMO) technology in developing radars for various applications. Radars using traditional MIMO technology have multiple transmit antennas simultaneously transmit probing signals with orthogonal waveform. Reflected from elements of radar scene signals received in parallel with receive antennas and form a set of propagation paths impulse responses, so called MIMO channel matrix. The main advantages of MIMO radars are improved detection performance, better spatial resolution, wide view angle. The paper considers the methodology coherent MIMO radar with frequency division. The main difference between proposed solutions from existing analogues is a sequential formation of MIMO channel matrix. It is shown, that to build a matrix of MIMO channels in a consistent manner requires a larger number of orthogonal probing waveforms and twice longer time, relative to the traditional parallel method. Under certain conditions, it can lead to a loss in signal/noise ratio to not more than 3 dB. To assess resolution in range, speed and bearing, the analysis "range-speed, range-bearing" and "speed-bearing" ambiguity functions are analyzed. It is shown, that usage of multifrequency probing signals, together with reflected signals spatial selection, allows to measure the range, bearing and speed based on single processing of one pulse train. The proposed method of MIMO channel matrix sequential formation leads to simplify hardware implementation of radar, due to use one transmit and one receive channels. From the view-point of proposed method hardware implementation the sequential switching of receiving and transmitting channels can reduce the radar complexity, as a result, its cost.|
|Keywords||MIMO radar; channel matrix; ambiguity function; multifrequency signal.|
|References||1. Davis M., Showman G., Lanterman A. Coherent MIMO radar: The phased array and orthogonal waveforms, Aerospace and Electronic Systems Magazine, IEEE, 2014, Vol. 29, No. 8, pp. 76-91.
2. Haimovich A.M. Distributed mimo radar for imaging and high resolution target localization. –NEW JERSEY INST OF TECH NEWARK, 2012, 19 p.
3. Ma C. et al. Mimo radar wide band array range-angle imaging, PIERS online, 2009, pp. 21-25.
4. Robey F. C. et al. MIMO radar theory and experimental results, Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on. IEEE, 2004, Vol. 1, pp. 300-304.
5. Haimovich A.M., Blum R.S., Cimini L.J. MIMO radar with widely separated antennas, Signal Processing Magazine, IEEE, 2008, Vol. 25, No. 1, pp. 116-129.
6. Chen Y. et al. Adaptive distributed MIMO radar waveform optimization based on mutual information, Aerospace and Electronic Systems, IEEE Transactions on, 2013, Vol. 49, No. 2, pp. 1374-1385.
7. Wang P., Li H., Himed B. Moving target detection using distributed MIMO radar in clutter with nonhomogeneous power, Signal Processing, IEEE Transactions on, 2011, Vol. 59, No. 10, pp. 4809-4820.
8. Li J., Stoica P. MIMO radar with colocated antennas,Signal Processing Magazine, IEEE, 2007, Vol. 24, No. 5, pp. 106-114.
9. Rabaste O., Savy L., Desodt G. Approximate multitarget matched filter for MIMO radar detection via Orthogonal Matching Pursuit, Radar Conference (Radar), 2014 International. IEEE, 2014, pp. 1-6.
10. He Q., He Z., Li H. Multibeam amplitude comparison problems for MIMO radar's angle measurement, Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on. IEEE, 2007, pp. 2163-2167.
11. Hassanien A., Vorobyov S.A. Why the phased-MIMO radar outperforms the phased-array and MIMO radars, Proc. European Signal Process. Conf., Aalborg, Denmark, 2010, pp. 1234-1238.
12. Chen C.Y., Vaidyanathan P.P. MIMO radar ambiguity properties and optimization using frequency-hopping waveforms, Signal Processing, IEEE Transactions on, 2008, Vol. 56, No. 12, pp. 5926-5936.
13. Huang Y. et al. FMCW based MIMO imaging radar for maritime navigation, Progress In Electromagnetics Research, 2011, Vol. 115, pp. 327-342.
14. Qu Y. et al. Performance analysis of beamforming for MIMO radar, Progress In Electromagnetics Research, 2008, Vol. 84, pp. 123-134.
15. Wang P., Li H., Himed B. A parametric moving target detector for distributed MIMO radar in non-homogeneous environment, Signal Processing, IEEE Transactions on, 2013, Vol. 61, No. 9, pp. 2282-2294.
16. Bliss D., Forsythe K., Fawcett G. MIMO Radar: Resolution, Performance, and Waveforms, Proc. 14th Annual Adaptive Sensor Array Processing Workshop, MIT, 2006, pp. 6-7.
17. Commin H., Manikas A. Virtual SIMO radar modelling in arrayed MIMO radar. 2012.
18. Contu M., Lombardo P. Sidelobe control for a MIMO radar virtual array, Radar Conference (RADAR), 2013 IEEE. IEEE, 2013, pp. 1-6.
19. Lobach V.T., Potipak M.V. Izmerenie dal'nosti medlenno dvizhushcheysya tseli
radiolokatorom s vysokoy razreshayushchey sposobnost'yu po dal'nosti [Slowly moving target range measurement by high range resolution radar], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2014, No. 11 (160), pp. 67-75.
20. Lobach V.T., Potipak M.V. The use of stepped frequency signals for object coordinate measurement, Microwave & Telecommunication Technology (CriMiCo), 2015 25th International Crimean Conference. IEEE, 2015, pp. 1140-1141.
21. Roberts W. et al. MIMO radar angle-range-Doppler imaging, Radar Conference, 2009 IEEE. IEEE, 2009, pp. 1-6.