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Fotoohi Firouzabad, H., Ghanei Yakhdan, H., Hosseini Andargoli, S., Aboei, J. (2021). The Analysis of Frequency Diverse Phased Multi-Input Multi-Output Radars within Non homogeneous Environments. Electronic and Cyber Defense, 9(1), 1-16.
Hamid Reza Fotoohi Firouzabad; Hosein Ghanei Yakhdan; Seyed Mehdi Hosseini Andargoli; Jamshid Aboei. "The Analysis of Frequency Diverse Phased Multi-Input Multi-Output Radars within Non homogeneous Environments". Electronic and Cyber Defense, 9, 1, 2021, 1-16.
Fotoohi Firouzabad, H., Ghanei Yakhdan, H., Hosseini Andargoli, S., Aboei, J. (2021). 'The Analysis of Frequency Diverse Phased Multi-Input Multi-Output Radars within Non homogeneous Environments', Electronic and Cyber Defense, 9(1), pp. 1-16.
Fotoohi Firouzabad, H., Ghanei Yakhdan, H., Hosseini Andargoli, S., Aboei, J. The Analysis of Frequency Diverse Phased Multi-Input Multi-Output Radars within Non homogeneous Environments. Electronic and Cyber Defense, 2021; 9(1): 1-16.

The Analysis of Frequency Diverse Phased Multi-Input Multi-Output Radars within Non homogeneous Environments

رادار
Article 1, Volume 9, Issue 1 - Serial Number 25, September 2021, Pages 1-16    PDF (866.62 K)
Document Type: Original Article
Authors
Hamid Reza Fotoohi Firouzabad1; Hosein Ghanei Yakhdan2; Seyed Mehdi Hosseini Andargoli* 3; Jamshid Aboei4
1PhD student, Yazd University, Yazd, Iran
2Assistant Professor, Department of Telecommunications, Faculty of Electrical Engineering, Yazd University, Yazd, Iran
3Associate Professor, Noshirvani University of Technology, Babol, Iran
4Associate Professor, Yazd University, Yazd, Iran
Receive Date: 13 July 2021,  Revise Date: 01 October 2021,  Accept Date: 04 December 2021 
Abstract
In this paper, phased multiple-input-multiple-output radars (known as PMRs) that transmit
frequency diverse orthogonal signals with full overlapped sub-arrays are studied. At first, the
optimal detector of PMR is designed by assuming heterogeneous clutter and random target
scattering coefficients. Then, for the optimal detector, the closed-form detection probability and
false-alarm rate are computed. At the end, the power assigned to the orthogonal signals is
optimized analytically based on the convex optimization framework to maximize the detection
probability. The numerical simulations show that the optimal detector is a joint spatial-temporal
filter that attenuates the clutters considerably by effectively combining orthogonal signals in
order to to improve the PMR detection probability in comparison with the phased radar (PR).
Furthermore, simulation results illustrate that optimal power assignment in the form of
orthogonal waves, based on the statistics of the target scatterings and that of the clutter,
improves the detection performance of the PMR in comparison with the conventional equal
power assignment methods.
Keywords
Phased-Colocated MIMO Radar; Optimal Detector; Heterogeneous Clutter; Power Allocation
References

[1]     E. Brookner, “ Phased array radars-past, present and future,” RADAR 2002, Edinburgh, UK, pp. 104-113, 2002.

[2]     J. Li and P. Stoica, “ MIMO Radar with Colocated Antennas,” in IEEE Signal Processing Magazine, vol. 24, no. 5, pp. 106-114, Sept. 2007.

[3]     E. Fishler, A. Haimovich, R. S. Blum, L. J. Cimini, D. Chizhik, and R. A. Valenzuela, “ Spatial Diversity in Radars—Models and Detection Performance,” in IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 823-838, March 2006.

[4]     L.  Jian  and P. Stoica, “MIMO radar signal processing,”   vol. 7, 2009.

[5]     A. Hassanien and S. A. Vorobyov, “Phased-MIMO Radar: A Trade off Between Phased-Array and MIMO Radars,” in IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3137-3151, June 2010.[6]     M. Jankiraman, “FMCW Radar Design,” Artech House, 2018.

[7]     Q. He, N. H. Lehmann, R. S. Blum, and A. M. Haimovich,
 “MIMO Radar Moving Target Detection in Homogeneous Clutter,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 46, no. 3, pp. 1290-1301, July 2010.

[8]     T.  Zhang, G. Cui, L. Kong and X. Yang, “Adaptive Bayesian Detection Using MIMO Radar in Spatially Heterogeneous Clutter,” in IEEE Signal Processing Letters, vol. 20, no. 6, pp. 547-550, June 2013.

[9]     M. Ahmadi and K. Mohamed-pour, “Space-time adaptive processing for phased-multiple-input–multiple-output radar in the non-homogeneous clutter environment,” in IET Radar, Sonar & Navigation, vol. 8, no. 6, pp. 585-596, July 2014.

[10]  X. Yu, G. Cui, J. Yang, and L. Kong, “MIMO Radar Transmit–Receive Design for Moving Target Detection in Signal-Dependent Clutter,” in IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 522-536, 2020.

[11]  A. J. Bogush, “Correlated Clutter and Resultant Properties of Binary Signals,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 9, no. 2, pp. 208-213, March 1973.

[12]  K. Schacke, “On the kronecker product,” Master's thesis, University of Waterloo (2004).

[13]  H. L. Van Trees, “Detection, Estimation, and Modulation Theory,”   Pt. 1.New York: Wiley, 1968.

[14]  M. J. Ghoreishian, S. M. Hosseini Andargoli, and F. Parvari, “Power allocation in MIMO radars based on LPI optimisation and detection performance fulfilment,” in IET Radar, Sonar and Navigation, vol. 14, no. 6, pp. 822-832, 2020,

[15]  M. Radmard, M. M. Chitgarha, M. Nazari Majd, and M. M. Nayebi, “Antenna placement and power allocation optimization in MIMO detection,” IEEE Trans. Aerosp. Electron. Syst., vol. 50, no. 2, pp. 1468–1478, 2014.

[16]  J. G. Proakis and M. Salehi, “Digital communications,” vol. 4. New York, McGraw-hill, 2001.

[17]  S. Boyd and L. Vandenberghe, “Convex optimization,” Cambridge university press, 2004.

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