A Methodology for the Design of Fault Tolerant Parallel Digital Channelizers on SRAM-FPGAs

Abstract

Digital channelizers (DCs) based on the Discrete Fourier Transform (DFT) and polyphase filter banks are widely used in on-board processing (OBP) platforms to extract narrowband sub-channels from a wideband signal efficiently. In high-capacity communication satellite platforms there are always multiple DCs extracting narrowband signals from multiple wideband signals in parallel. Field-programmable gate arrays (FPGAs) are a popular option for the implementation of DCs due to their parallel computing capabilities and good re-configurability, but FPGAs suffer single-event upsets (SEUs) on the space platform. This paper focuses on the efficient protection of parallel DCs with enhanced coding techniques. We first prove that a linear relationship between parallel DCs can be introduced and maintained among the multiple outputs. However, traditional coding schemes cannot be directly applied for the detection of faulty DCs due to the quantization noise introduced by fixed point implementations. To address this issue, we propose an enhanced coding scheme by averaging in the space and time domains to minimize the effect of quantization noise, introducing thresholds and a majority voter to further improve the detection probability. Both theoretical analysis and fault injection experiments prove the effectiveness of the proposed protection scheme. Experimental results show that all the SEUs that cause an SNR lower than 20dB can be detected and recovered, and the resource overheads are about 1.6 times and 1.3 times of that of the unprotected DCs for systems with 8 DCs and 16 DCs, respectively.