BAS Institute of Information and Communication Technologies Postdoc Achievements in AComIn Volodymyr Kudriashov 1

Outline 2 1.Performance estimation of SmartLab Acoustic Camera. 2.Obtained results on: a) angular resolution enhancement; b) detection of signals; c) vibration estimation using microwave radiometer. Outcomes: Publications in conference proceedings, journals and book chapter Participation at scientific meetings Concluded agreements

Acoustic Camera Applications: Acoustic Imaging and Signal Analysis Pictures from WWW 3

Acoustic Camera Architecture The Camera Manufacturer: Brüel & Kjær (Sound and Vibration Measurement A/S) 4

Acoustic Camera Phase Calibration 5 Number of switching Channel 2

Field of View Illustration 6 Boresight direction; FoV  88 deg. Elevation Azimuth  Christensen B&K reports/reviews: about ±30 o ~3 times in Elevation ~2.6 times in Azimuth

Ghost images sample Experiment description Central frequency10 kHz Bandwidth10% (1 kHz) Range0.75 m Beam steering discrette 1 deg 1 deg. Field of view in both angular dimensions  88 deg. Color scheme threshold -15 dB Boresight direction; Threshold -15 dB; FoV  88 deg. 3 dB !! 7

Detection Signal model Increments properties No signal probability density function Probability density function Likelihood ratio 8 Beamforming delivers imaging. Target presence decision - is to be adopted by user. Ghosts or Info?

9 Trg. 2Trg. 1 Half power or -3dB Resolution Enhancement

B&KCapon mod. Center frequency 10 kHz

11 Delay and SumCapon mod. Beamforming based-on modified Capon algorithm Center frequency 5 kHz

12 3D view Top view Front view Side view 3D Acoustic Imaging

Radiometric Solution 13 Features: -Nice (desired) and constant angular resolution for all frequencies -Vibration sound/map -Temperature map -Price does not exceed Slide 1/2

14 Capon-based signal processing for bistatic radiometer which estimates time difference of arrival (TDOA). Modified Maximum Likelihood Method Regular approach Radiometric Solution Slide 2/2 Emitter 1Emitter 2

Outcome 1 6 publications in proceedings of conferences 15 Published:  K.A. Lukin, V.V. Kudriashov, P.L. Vyplavin and V.P. Palamarchuk, Coherent Radiometric Imaging In Range- Azimuth Plane Using Antennas With Beam Synthesizing, 11th European Radar Conference (EuRAD), pp Fiera di Roma, Rome, Italy, 5-10 October, DOI: /EuRAD  K.A. Lukin, Vyplavin P.L., Palamarchuk V.P., Kudriashov V.V., Kulpa K., Gajo Z., Misiurewicz J., Kulpa J., Accuracy of phase measurements in noise radar, 15th International Radar Symposium (IRS), pp Gdansk, Poland, June, DOI: /IRS  Lukin K., Vyplavin P., Kudriashov V., Lukin S., Palamarchuk V., Shkvarko Yu., Sushenko P, Zaets N., Radar tomography using MIMO noise radar and antenna with beam synthesis, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014, pp Florence, Italy, 4-9 May, DOI: /ICASSP In printing: V.V. Kudriashov, K.M. Alexiev, “Non-stationary random Wiener signal detection rule for case of monostatic reception, Acoustics 2014, pp Sofia, Bulgaria, November, ISSN , year XVI, number 16. V.V. Kudriashov, K.M. Alexiev, “Acoustic camera – how to see the sounds, Acoustics 2014, pp Sofia, Bulgaria, November, ISSN , year XVI, number 16. In review: V.V. Kudriashov, Non-stationary Random Wiener Signal Detection Criterion Variants for Case of Monostatic Reception, 7th Balkan Conference in Informatics, pp Craiova, Romania, 2-4 September, 2015.

Outcome 2 4 publications in journals 16 Published:  K.A. Lukin, V.V. Kudriashov, P.L. Vyplavin, V.P. Palamarchuk, “Coherent imaging in the range- azimuth plane using a bistatic radiometer based on antennas with beam synthesizing,” IEEE Aerospace and Electronic Systems Magazine, Vol. 29, Iss. 7, July (Thomson Reuters IF: 0.438) In printing: K.A. Lukin, V.V. Kudriashov, P.L. Vyplavin, V.P. Palamarchuk, S.K. Lukin, Coherent Radiometric Imaging in Range-Azimuth Plane Using Antennas With Beam Synthesizing, International Journal of Microwave and Wireless Technologies. (Thomson Reuters IF: 0.456) K.A. Lukin, P.L. Vyplavin, V.P. Palamarchuk, V.V. Kudriashov, K. Kulpa, Z. Gajo, J. Misiurewicz, J. Kulpa, “Accuracy of Phase Measurements in Noise Waveform Synthetic Aperture Radar,” IEEE Transactions on Aerospace and Electronic Systems. (Impact Factor 1.394) In review: V.V. Kudriashov, “A Modified Maximum Likelihood Method for Estimation of Mutual Delay and Power of Noise Signals by Bistatic Radiometer,” Comptes rendus de l'Académie bulgare des Sciences. (SCOPUS IPP: 0.214)

Outcome 3 Publication in Springer book 17 In review:  V.V. Kudriashov, Experimental evaluation of opportunity to improve the resolution of the acoustic maps. Book: ”New Approaches in Intelligent Control and Image Analysis: Techniques, Methodologies and Applications” To a book series “Intelligent Systems Reference Library”, Publisher: SPRINGER-VERLAG, Editors: Kazumi Nakamatsu (University of Hyogo), Roumen Kountchev (Technical University of Sofia).

Outcome 4 3 presentations at seminars 18 V.V. Kudriashov, Acoustic camera – how to see the sounds. IICT BAS, seminar of Mathematical Methods for Sensor Information Processing Department, 27 November, Laboratory of vibration and noise in machines, Technical University of Sofia. 20 November, Departments of a) Air Transport b) of Combustion Engines, Automobile Engineering and Transport, c) of Strength of Materials, Faculty of Transport, TU Sofia. 21 January, 2015.

Outcome 5 3 preliminary agreements on the use of the equipment 19 TU Sofia. Vice rector, Prof., Eng., Ph.D., Ivan Kralov. Noise reduction of railway transport. Acoustic mapping for noise source localization. Condition diagnosis of passing railway carriages. TU Sofia. Faculty of Transport. Acoustic diagnostics of internal combustion engines at helicopter repair factory. Dundee Precious Metals. Gold/Copper Underground Mine in Chelopech, Bulgaria. Life of mine – to Gold Production ~ 4 t, in Noise source localization in acoustic shielding of the mine air conditioning.

Outcome 6 3 agreements of understanding 20 Laboratory for Nonlinear Dynamics of Electronic Systems, O.Ya. Usikov Institute for Radiophysics and Electronics, National Academy of Sciences of Ukraine. Prof. K. Lukin. Research and Development Center of Integrated Informational Radio Electronic Systems and Technologies, Kharkiv National University of Radio Electronics, Ministry of Education and Science of Ukraine. Prof. D. Lekhovytskiy. Department of Aircrafts Radio Electronic Systems Design, Faculty of Aircrafts Radio Engineering Systems, National Aerospace University “KhAI”, Ministry of Education and Science of Ukraine. Doc. V. Pavlikov.

Outcome 7 Searching for cooperation 21 European Doctoral Programmes in Metamaterials, Virtual Institute “Metamorphose”. EUPROMETA – 27th Doctoral School on Metamaterials, Electromagnetic, acoustic, and thermal invisibility. Department of Engineering, “Roma Tre” University, Roma, Italy, 4-8 May, Target issue: “Acoustic cloaking: theoretical aspects, experiments, and applications”. Brüel & Kjær (Sound and Vibration Measurement A/S) course “Acoustic Imaging and Noise Source Identification”. Copenhagen, Denmark, April, Target issues: a) to clarify existing particularities of workflow with AComIn Smart Lab acoustic camera equipment; b) to discuss potential cooperation with the company.

Outcomes. 22 Quantity of works in is 11. It includes: quantity of conf. proceedings papers: 6 (incl. EuRAD, IRS, ICASSP); quantity of papers: 4 (Scopus IPP: 0.214; IF: … 1.394); one chapter in Springer book. All the works are peer-reviewed. Quantity of works those cited AComIn is 6. It consists of: 3 conference papers; 2 journal papers (IPP: 0.214; IF: 0.456); Springer book chapter. V. Kudriashov had been employed in AComIn since 12 August, 2014.

Conclusions 23 AComIn SmartLab Acoustic Camera performance was estimated. Obtained characteristics enable to improve its usage. Resolution enhancement algorithm was checked in indoor experiments. Obtained results show opportunity to generate acoustic images with higher quality. Detection algorithms were proposed to decrease human factor during acoustic noise source localization. Non-acoustic technique was proposed to improve quality of acoustic noise source identification. Applicability of the camera was considered.