Abstract
In this paper, a matched filter commonly used in acoustic shot detection algorithms was implemented on an FPGA (Field Programmable Gate Array) of a system on chip using a hardware-software co-design method. The matched filter design processes data from four microphone channels in parallel through cross-correlation and is capable of detecting shock wave signals and generating interrupts to transfer information to the processor upon detection. Custom design IP (Intellectual Property) blocks were designed and utilized in the study. The synchronization of the used IP blocks and the design details were explained. The design was implemented in an system on chip and its results were observed. As a result, a hardware implementation example of signal processing applications such as matched filters, which are time-consuming and consume processor resources when frequently called and used for many channels, was demonstrated.
Translated title of the contribution | FPGA-Based Implementation of a Matched Filter for Acoustic Shooter Localization System |
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Original language | Turkish |
Title of host publication | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350343557 |
DOIs | |
Publication status | Published - 2023 |
Event | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023 |
Publication series
Name | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
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Conference
Conference | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 5/07/23 → 8/07/23 |
Bibliographical note
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