Vol. 107
Latest Volume
All Volumes
PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2022-01-27
In-Situ Measurement Method of Radiation Emission Based on Non-Uniform Array and Adaptive Noise Cancelling
By
Progress In Electromagnetics Research M, Vol. 107, 217-229, 2022
Abstract
For the coexistence of SUT (System Under Test) radiative emission signal and ambient interference signal, the amplitude of SUT signal will be submerged by the amplitude of interference signal, so it is difficult to accurately measure the amplitude of SUT signal. In this paper, a two-level nested array is used as the receiving array antenna, and the mixed matrix estimation method based on Blind Source Separation (BSS) is used to separate the coherent groups of the signal. Then the Sparse Reconstruction method is used for the DOA (Degree Of Arrival) estimation of each coherent group of the signal. After the DOA information of each signal is obtained, beamforming method is used to form beams of the main channel and auxiliary channel. The beam of the main channel outputs without distortion in the direction of the SUT signal and forms zero traps in the direction of the coherent signals, while the beam of the auxiliary channel forms zero traps in both the direction of the SUT signal and the direction of the coherent signal. The data received by the array are respectively multiplied by the weights of the main channel and auxiliary channel to obtain the output signals of the two channels. The output signals of the two channels are respectively fed into the Adaptive Noise Cancellation (ANC) system, and the ANC method is used to suppress the ambient interference signals and restore the SUT signal. Simulation and experiment results show that this method can accurately estimate DOA of radiation emission signals, effectively suppress ambient signals and restore the signal of SUT in field measurement of radiation emission.
Citation
Shouyang Zhai, Hezhihan Fan, Zhongyuan Zhou, Yan Chen, Dan Chen, Xiang Zhou, and Li Ma, "In-Situ Measurement Method of Radiation Emission Based on Non-Uniform Array and Adaptive Noise Cancelling," Progress In Electromagnetics Research M, Vol. 107, 217-229, 2022.
doi:10.2528/PIERM21102301
References

1. Specification for radio disturbance and immunity measuring apparatus and methods - Part 2-5: In situ measurements of disturbing emissions produced by physically large equipment , CISPR 16-2-5, 2008.

2. Svacina, J., J. Drinovsky, and R. Videnka, "Virtual anechoic room an useful tool for EMI pre-compliance testing," 2007 17th International Conference Radioelektronika, 1-4, Brno, Czech Republic, 2007.

3. Marino, M. and S. D. Watkins, "EMI ambient cancellation and source localization technology," 1999 International Symposium on Electromagnetic Compatibility (IEEE Cat. No. 99EX147), 807, Tokyo, Japan, 1999.

4. Marino, M. A., "System and method for measuring RF radiated emissions in the presence of strong ambient signals,", U.S. Patent 698 0611 B1, 2005.

5. Lu, Z., J. Liu, and P. Liu, "A novel method of ambient interferences suppressing for in situ electromagnetic radiated emission test," IEEE Transactions on Electromagnetic Compatibility, Vol. 54, No. 6, 1205-1215, Dec. 2012.
doi:10.1109/TEMC.2012.2201945

6. Lu, Z., L. Ding, X. Lin, and M. Lin, "An innovative virtual chamber measurement method based on spatial domain cancellation technique for radiation emission in situ test," IEEE Transactions on Electromagnetic Compatibility, Vol. 59, No. 2, 342-351, Apr. 2017.
doi:10.1109/TEMC.2016.2612401

7. Zhou, Z., P. Li, M. Sheng, Q. Zhou, and P. Hu, "Ambient interferences suppressing for in-situ radiated emissions measurement based on array signal processing and adaptive noise cancellation," IEEE Transactions on Electromagnetic Compatibility, Vol. 62, No. 4, 1055-1067, Aug. 2020.
doi:10.1109/TEMC.2019.2933918

8. Li, P., Z. Y. Zhou, M. J. Sheng, Q. Zhou, and P. Hu, "In situ measurement of radiated emissions based on array signal processing and adaptive noise cancellation," IEICE Trans. Electron., Vol. E102-C, No. 4, 371-379, 2019.
doi:10.1587/transele.2018ECP5052

9. Pal, P. and P. P. Vaidyanathan, "Nested arrays: A novel approach to array processing with enhanced degrees of freedom," IEEE Trans. on Signal Processing, Vol. 58, No. 8, 4167-4181, 2010.
doi:10.1109/TSP.2010.2049264

10. Li, Y. Q., A. Cichocki, and S. I. Amari, "Analysis of sparse representation and blind source separation," Neural Computation, Vol. 16, No. 6, 1193-1234, 2004.
doi:10.1162/089976604773717586

11. Malioutov, D., M. Cetin, and A. S. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays," IEEE Transactions on Signal Processing, Vol. 53, No. 8, 3010-3022, Aug. 2005.
doi:10.1109/TSP.2005.850882

12. Tian, Y. and X. Y. Sun, "Passive localization of mixed sources jointly using MUSIC and sparse signal reconstruction," AEU - International Journal of Electronics and Communications, Vol. 68, No. 6, 534-539, 2014.
doi:10.1016/j.aeue.2013.12.011

13. Kennedy, J. and R. Eberhart, "Particle swarm optimization," Proceedings of ICNN'95 - International Conference on Neural Networks, Vol. 4, 1942-1948, Perth, WA, Australia, 1995.

14. Robinson, J. and Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Transactions on Antennas and Propagation, Vol. 52, No. 2, 397-407, Feb. 2004.
doi:10.1109/TAP.2004.823969

15. Cao, D., A. Modiri, G. Sureka, and K. Kiasaleh, "DSP implementation of the particle swarm and genetic algorithms for real-time design of thinned array antennas," IEEE Antennas and Wireless Propagation Letters, Vol. 11, 1170-1173, 2012.

16. Van Veen, B. D. and K. M. Buckley, "Beamforming: A versatile approach to spatial filtering," IEEE ASSP Magazine, Vol. 5, No. 2, 4-24, Apr. 1988.
doi:10.1109/53.665

17. Hassanien, A. and S. A. Vorobyov, "A robust adaptive dimension reduction technique with application to array processing," IEEE Signal Processing Letters, Vol. 16, No. 1, 22-25, Jan. 2009.
doi:10.1109/LSP.2008.2008482

18. Hassanien, A., S. A. Elkader, A. B. Gershman, and K. M.Wong, "Convex optimization based beam-space preprocessing with improved robustness against out-of-sector sources," IEEE Transactions on Signal Processing, Vol. 54, No. 5, 1587-1595, May 2006.
doi:10.1109/TSP.2006.870564

19. Ge, X., Z. Zhou, and Y. Gu, "Improvement on in-situ radiated emission measurement method," 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 1080-1084, 2021.
doi:10.1109/IAEAC50856.2021.9390684