A 75.6 Gb/s 22-bit Floating-Point Coarse-Grained Versatile DSP Embedding 26K-Point Baseband Signal Processing and 2048 × 256-Point Complex FFT
As millimeter-wave radar technology advances, modern domain-specific digital signal processors (DSPs) struggle to balance versatility and processing scale, while suffering from low data precision and data throughput. To address these challenges, this paper presents a novel coarse-grained versatile DSP (CVDSP). The CVDSP introduces an architecture based on multi-level finite state machines and a custom instruction set to support various algorithms through flexible dataflow. The efficient large-scale PEs are designed with 22-bit floating-point precision to handle 26K-point baseband signal processing and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2048\times 256$</tex-math> </inline-formula>-point complex fast Fourier transform. Cooperating with a high-bandwidth instruction-free memory access network, the CVDSP achieves relatively high data throughput. Fabricated in a 65-nm CMOS process, experimental results show that the peak energy efficiency and data throughput of the CVDSP are 299.5 GMACs/J and 75.6 Gb/s. The CVDSP demonstrates fully on-chip implementation of the FMCW radar, Pulse-Doppler radar, and spectrometer algorithms.
Authors
- Shuangming Yu (ORCID: https://orcid.org/0000-0001-6678-3886)
- Runjiang Dou (ORCID: https://orcid.org/0000-0002-8674-1285)
- X. Liu
- Z. G. Wang (ORCID: https://orcid.org/0000-0001-8256-2848)
- Xuanzhe Xu
- Jian Liu (ORCID: https://orcid.org/0000-0001-8057-2444)
- Liyuan Liu (ORCID: https://orcid.org/0000-0003-2585-323X)
- Xu Yang (ORCID: https://orcid.org/0000-0001-5944-2987)
- Siyuan Wei (ORCID: https://orcid.org/0009-0009-5351-3698)
- Nanjian Wu (ORCID: https://orcid.org/0000-0001-8022-0262)
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Semiconductors (CN)
Publication Details
- Journal
- IEEE Transactions on Circuits and Systems I Regular Papers
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1109/tcsi.2025.3578436
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China