OPEN SPACE ELECTROMAGNETIC INTERFERENCE MEASUREMENT USING BINORMALIZED DATA-REUSING LMS ALGORITHM

1. OPEN SPACE ELECTROMAGNETIC INTERFERENCE MEASUREMENT USING BINORMALIZED DATA-REUSING LMS ALGORITHM

2. BACKGROUND OF THE PROJECT • AIM - To develop a very low cost system, which can be used in the Electromagnetic Compatibility (EMC) testing of all electronic equipments in a large scale manufacturing industry and also for the purpose of Education. • Here it is proposed to carry out the EMC test in open space along with a noise cancellation algorithm, instead of doing it inside an anechoic chamber.

3. INTRODUCTION • Nowadays Electromagnetic compatibility (EMC) must be maintained in all electronic equipments manufactured. • Electromagnetic Compatibility (EMC) is the ability of electrical or electronic equipment/systems to function in the intended operating environment without causing or experiencing performance degradation due to unintentional EMI.

4. VICTIM SOURCE EMI

6. PROBLEM DEFINITION • Very costly setup, limited size of the Device Under Test, etc., • Cost of an anechoic chamber of dimension 52’’ by 23’’ by 12’’ is 100,000$. • The construction and maintenance complexity of the anechoic chamber is very high. • Many educational institutions are not affording anechoic chamber due to high cost.

7. 1, 2 - Broadband Antenna (Log Periodic Dipole Array), • 5 - Spectrum Analyzer. • (A) – Impedance Matching network. VIEW RESULTS IMPLIMENTATION

8. HOME DUT AMBIENT NOISE

9. HOME WHY LPDA? • An antenna forms the interface between the free space and the transmitter or receiver. The choice of an antenna normally depends on factors such as gain and the bandwidth an antenna can offer. • Log-periodic dipole array (LPDA) antennas offer a wider bandwidth and can have gains as high as 10 dB. • The other advantage of this antenna is that its input impedance can be set to the desired value by selecting the appropriate diameter for the dipole elements.

10. HOME ANTENNA DESIGN

11. HOME

12. HOME

13. HOME

14. HOME SPECTRUM ANALYZER SET UP • The signal from the antenna is analog in nature. It has to be converted into digital signal for further processing, which is achieved by using spectrum analyzer. • The Spectrum Analyzer is remote controlled by using a Personal Computer. RS-232 is used to connect the spectrum analyzer with the P.C. • Remote control software of GWGSP 810 is used for this purpose.

15. HOME Interface Between Spectrum Analyzer and P.C. RS 232 SPECTRUM ANALYZER P.C.

16. HOME Remote Control Software of GWGSP810

17. HOME EMI (GUI) WINDOW

18. HOME ADAPTIVE FILTERING Filter input ADAPTIVE FILTER (BDLMS) • Adaptive filtering is used to remove the ambient noises. • In adaptive filtering the filter coefficients are updated for arrival of every new sample such that the mean square error value is maintained minimum. Desired input Error Signal

19. HOME ANTENNA BANDWIDTH MEASUREMENT DUT +  NOISE NOISE 

20. HOME TEST SIGNAL INPUTS DUT +  NOISE NOISE 

21. HOME CLMS Output LMS Output BDLMS Output

22. HOME REAL TIME SIGNAL INPUTS DUT +  NOISE NOISE 

23. HOME LMS Output CLMS Output BDLMS Output

24. HOME COMPARISON RESULTS LMS Vs CLMS

25. HOME CLMS Vs BDLMS  LMS Vs BDLMS 

26. IMPLEMENTATION • This project can be implemented in real time working environment in either of the two ways. • The TYPE-I implementation – Application dependent system (Can be used in Industries). ADVANTEGES • No increase in the manufacturing cost except a change in the present assembly line process. • Reduction in Manufacturing cost of the electronic goods. • Reduction in maintenance complexity.

27. The TYPE-II implementation – Application independent system (Can be used for educational purposes). ADVANTEGES • Very low cost portable system which can be afforded by all educational institutions. • A single system can be used to study all the effects involving the usage of anechoic chamber. • Easy handling and simplicity. • There is no restriction in the size of DUT.

28. FUTURE WORK: • The capturing of EMI signal will be done in Time domain to reduce the measurement time. • To improve the efficiency of the entire system, the Signal processing step is going to be implemented in the time domain. • We have also planned to improve the efficiency of ambient noise cancellation process.

29. REFERENCE • [1] P.S.R.Diniz, Adaptive Filtering: Algorithms and Practical Implementation. Kluwer Academic Press, Boston, MA, USA, 1997. • [2] S.Haykin, Adaptive Filter Theory. Prentice Hall, Englewood Cliffs, NJ, USA, 3rd edition, 1996. • [3] T.Shinozuka, and A.Sugiura, “Reduction of Ambient Noise in EMI Measurement,” IEEE International Symposium On Electromagnetic Compatibility Digest, September 8-10, Nagoya, Japan, pp. 24-28, 1989. • [4] P.Parhami, M.Marino, S.Watkins, and E.Nakauchi, “Innovative precompliance test methodology using ambient cancellation and coherence detection techniques,” IEEE International Symposium On Electromagnetic Compatibility, August 2-6, Seattle, USA, vol. 2, pp. 1022-1025, 1999. • [5] S.Braun, M.Al-Qedra, and P. Russer, “A novel Realtime Time-domain Measurement System based on Field Programmable Gate Arrays,” 17th International Zurich Symposium On Electromagnetic Compatibility, Feb. 27 -March 3, Singapore, pp. 501-504, 2006. Best Student Paper.

30. [6] J.A.Apolindrio Jr., M.L.R. de Campos and P.S.R.Diniz, “Binormalized Data-reusing LMS algorithm with optimized stepsize sequence” 2004. • [7] J.A.Apolindrio Jr., M.L.R. de Campos and P.S.R.Diniz, “Convergence analysis of the Binormalized Data- Reusing LMS Algorithm,” Proceedings of the European • Conference on Circuit Theory and Design, Budapest, Hungary, 1997. • [8] B.Widrow, J.McCool, and M.Ball, “The Complex LMS Algorithm,” Proceedings of the IEEE, vol.63, no.4, pp. 719-720, April 1975. • [9] Arnd Frech, Amer Zakaria, Stephan Braun, Peter Russer “Ambient Noise Cancelation with a Time domain EMI Measurement System using Adaptive Filtering”, Institute for High-Frequency Engineering, Munich, Germany.

31. THANK YOU