Multiplier-less Broadband and Linear Phase Digital Hilbert Transformers

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Hans Georg Brachtendorf, Christoph Dalpiaz, Martin Steiger
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引用次数: 0

Abstract

The Hilbert transformation for generating the analytic signal or signal envelope is widely used in modern communication receivers, in radar and sonar systems. It introduces a \(90^{\circ }\) phase shift of the input signal. Since the impulse response of the ideal Hilbert transformer is non-causal, it must be approximated by an FIR or IIR filter. This paper shows results of novel algorithms for designing broadband digital IIR Hilbert transformers and its implementation. The designs employ Galerkin or collocation techniques. The transfer function of the Hilbert transformer is a rational polynomial of low order and exhibits approximately linear phase. The filters match the \(90^{\circ }\) phase shift requirement of Hilbert transformers almost perfectly and exhibit approximately constant group delay in the passband. The achieved image rejection ratio is typically larger than 50 dB. The quantization of the filter coefficients is realized by a Canonical Signed Digit (CSD) representation, reducing the hardware resources compared with two’s complement. The resulting filters are multiplier-less, which is crucial for high-speed signal processing and low power consumption. The design techniques and the CSD representation are realized in a MATLAB toolbox. The filters were moreover implemented in VHDL and SystemC. Additionally, a MATLAB tool for automatically generating a VHDL package containing the filter parameters has been implemented.

Abstract Image

无乘法器宽带和线性相位数字希尔伯特变压器
用于生成解析信号或信号包络的希尔伯特变换被广泛应用于现代通信接收机、雷达和声纳系统中。它引入了输入信号的相移(90^{\circ }\)。由于理想希尔伯特变压器的脉冲响应是非因果的,因此必须用 FIR 或 IIR 滤波器来近似。本文展示了设计宽带数字 IIR 希尔伯特变压器的新算法及其实现。这些设计采用了 Galerkin 或拼位技术。希尔伯特变换器的传递函数是低阶有理多项式,并呈现近似线性相位。滤波器几乎完全符合希尔伯特变压器的相移要求,并在通带中表现出近似恒定的群延迟。实现的图像抑制比通常大于 50 dB。滤波器系数的量化由 Canonical Signed Digit (CSD) 表示法实现,与二进制相比减少了硬件资源。由此产生的滤波器无需乘法器,这对高速信号处理和低功耗至关重要。设计技术和 CSD 表示法是在 MATLAB 工具箱中实现的。此外,还用 VHDL 和 SystemC 实现了滤波器。此外,还使用 MATLAB 工具自动生成包含滤波器参数的 VHDL 包。
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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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