Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

R Koteswararaonaik; G V K Sharma

doi:10.17485/IJST/v16i23.686

Article

Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i23.686

Year: 2023, Volume: 16, Issue: 23, Pages: 1745-1753

Original Article

Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

R Koteswararaonaik^1*, G V K Sharma¹

¹EECE Department, GITAM School Technology ,GITAM(Deemed to be University), Visakhapatnam, India

*Corresponding Author
Email: [email protected]

Received Date:26 March 2023, Accepted Date:10 May 2023, Published Date:17 June 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: To enhance multiple moving target detection of Radar by improving auto and cross-correlation properties of the digital signal received from the target. Methods: This study uses the Booths Algorithm to generate various groups of digital codes to test the auto and cross-correlation properties, and Doppler tolerance of the desired digital signal received from the target. Furthermore, Matlab is used to validate the investigated results. The side-noise of the presented digital codes is optimal which improves both static and moving target detection in multi-target environment. Standard length codes (i.e. 8, 16, 32, 64,128 and 256-bit) are designed. Findings: The designed group of digital codes discovers a broad range in smart 5th-generation battlefields to detect the target, in which multiple and fast-moving warfare including Unmanned Aerial vehicles will actively participate in the mission. To confirm the study, a comparison has been made between the proposed approach and the current art of work (vide figure A). Novelty: Simple novel and productive set of digital codes using the Booths Algorithm have been designed and tested in real-time applications; wherein, the side noise peaks have been reduced to a minimum when compared to the current art of work

Keywords: Booths Algorithm; Autocorrelation; Digital Codes; Target Detection; Cross Correlation

References

Hunde A. Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections. Sensors. 2022;22(21):8415. Available from: https://doi. org/ 10. 33 90/s 22 218415
Zarai K, Cherif A. Improved Multi Target Tracking in MIMO Radar System Using New Hybrid Monte Carlo–PDAF Algorithm. IoT Applications Computing. 2022. Available from: https://doi.org/10.5772/intechopen.95948
Jiang W, Ren Y, Liu Y, Leng J. A method of radar target detection based on convolutional neural network. Neural Computing and Applications. 2021;33(16):9835–9847. Available from: https://doi.org/10.1007/s00521-021-05753-w
Long T, Liang Z, Liu Q. Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition. Science China Information Sciences. 2019;62(4). Available from: https://doi.org/10.1007/s11432-018-9811-0
Abratkiewicz K. Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform. Sensors. 2022;22(16):5954. Available from: https://doi.org/10.3390/s22165954
Alotaibi M. Multi-Criteria Decision Making to Detect Multiple Moving Targets in Radar Using Digital Codes. Sensors. 2022;22(9):3176. Available from: https://doi.org/10.3390/s22093176
Alotaibi M. Correction to: Low noise moving target detection in high resolution radar using binary codes. EURASIP Journal on Advances in Signal Processing. 2021;2021(1). Available from: https://doi.org/10.1186/s13634-021-00721-x
Aleem MD, Singh RP, Ahmad SJ. Enhance Multiple Moving Target Detection in Doppler-Tolerant Radar Using IRAESC Technique. In: Lecture Notes in Networks and Systems. (Vol. 33, pp. 417-426) Springer Singapore. 2019.
Unissa I, Ahmad SJ. Long Binary Sequences with Good Auto and Cross-Correlation Properties LAP. (p. 978) Saarbrücken, Germany, 2021. LAMBERT Academic Publishing. 2021.
Bhure RKD, Manjunathachari K. Design Of Digital Code Using Trellis Code to Improve Multiple Moving Target Detection in Doppler Radar. Indian Journal of Science and Technology. 2021;14(46):3407–3415. Available from: https://doi.org/10.17485/IJST/v14i46.1771

Copyright

© 2023 Koteswararaonaik & Sharma. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)