Variable-length and high-precision FFT processors based on configurable constant factor multipliers and memory reallocations

被引:1
|
作者
Xie, Yu [1 ]
Wei, Xin [1 ]
Chen, Liang [1 ]
Xie, Yi-Zhuang [1 ]
Chen, He [1 ]
机构
[1] Beijing Inst Technol, Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China
来源
IEICE ELECTRONICS EXPRESS | 2018年 / 15卷 / 14期
基金
中国国家自然科学基金;
关键词
FFT; variable-length; CSD; memory reallocations; SQNR; FFT/IFFT PROCESSOR; SYSTEMS;
D O I
10.1587/elex.15.20180610
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A variable-length, high-precision fixed-point pipeline FFT processor design methodology is proposed in this article. As an example for synthetic aperture radar (SAR) imaging processing, a radix-2(5) single-path delay feedback (SDF) 32768-point FFT is implemented. By analyzing both the two's complement and canonic signed digit (CSD) representations of the constant factors, the proposed configurable constant factor multipliers (CCFM) can be configured to generate any constant factors applied in the radix-25 algorithm. The variable length architecture can be built up by a simple permutation and combination of radix-2 butterfly operations and CCFM. With the look-up table (LUT) division technique, the twiddle factor storage requirement is significantly reduced. The high precision fixed-point calculation performance is achieved based on a memory reallocation (MR) technique. When performing the non-maximum size FFT, by reallocating the idle memory resources, the fixed-point calculation precision is improved. Compared with conventional design methodology, the proposed fixed-point FFT achieves an SQNR improvement of at least 18 dB and the circuit area is reduced by at least 10%.
引用
收藏
页数:10
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