Low-Complexity Digital Multi-Beamforming Using Approximate Computing
Digital multi-beamforming is a crucial requirement in modern wireless communication, navigation, and radar applications, where highly directional communication is enabled through antenna arrays. Such antenna array-based receivers employ digital signal processing backends, often implemented on field programmable gate array (FPGA) based platforms to produce multi-beam array response patterns. This talk presents recent research findings incorporating approximate trigonometric transforms in conjunction with approximate computing units on FPGAs to provide low complexity DSP back-ends for multi-beamforming arrays. The presentation will show how approximations can be employed at both algorithmic and computing levels to significantly reduce the hardware complexity while maintaining acceptable beamforming performance.
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Chamith Wijenayake
Biography:
Chamith Wijenayake is currently a Senior Lecturer at the school of Electrical Engineering and Computer Science at the University of Queensland, Brisbane, Australia. Chamith completed his PhD in Electrical and Computer Engineering at the University of Akron, Ohio, USA in 2014 and BSc (Hons) degree in Electronic and Telecommunications Engineering with first class honours at the University of Moratuwa, Sri Lanka in 2007. His research interests include multidimensional signal processing, digital hardware architectures for signal processing, FPGA based system design, hardware accelerators for machine learning, and engineering education. Chamith is a Senior Member of IEEE, and he has received a number of awards for his research and teaching at university level including the Citation for Outstanding Contributions to Student Learning at the Australian Awards for University Teaching (AAUT) in 2025.