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Fast signal transforms for radar information processing.

機(jī)譯：用于雷達(dá)信息處理的快速信號(hào)轉(zhuǎn)換。

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This work describes a useful processing tool for time-frequency signals known as the Discrete Chirp Fourier Transform (DCFT). Chirp signals are time-frequency signals which are linearly frequency modulated. DCFT implementations for RADAR systems provide important information about the nature of radar signals and allow to determine certain spectral characteristics.; This work concentrates on the analysis, design, and implementation of efficient algorithms for the computation of the DCFT. The algorithms involve mathematical tools, in order to express DCFT in terms of factored composition of sparse matrices. A DCFT takes a one-dimensional signal in the object domain and returns a two-dimensional signal in the spectral domain.; Important issue in this work is the study of algorithm arithmetic complexity. The main goal of this work is to generate implementations in MATLAB RTM and MPI-based clusters. The work addresses the issue of scalability as it pertains to the processing of high bandwidth data.
機(jī)譯：這項(xiàng)工作描述了一種有用的時(shí)頻信號(hào)處理工具，稱(chēng)為離散Chi傅立葉變換（DCFT）。線性調(diào)頻信號(hào)是被線性調(diào)頻的時(shí)頻信號(hào)。 RADAR系統(tǒng)的DCFT實(shí)現(xiàn)提供了有關(guān)雷達(dá)信號(hào)性質(zhì)的重要信息，并允許確定某些頻譜特性。這項(xiàng)工作集中在DCFT計(jì)算的有效算法的分析，設(shè)計(jì)和實(shí)現(xiàn)上。該算法包括數(shù)學(xué)工具，以便根據(jù)稀疏矩陣的分解構(gòu)成來(lái)表達(dá)DCFT。 DCFT在物鏡域中獲取一維信號(hào)，并在頻譜域中返回二維信號(hào)。這項(xiàng)工作中的重要問(wèn)題是算法算術(shù)復(fù)雜度的研究。這項(xiàng)工作的主要目標(biāo)是在MATLAB RTM和基于MPI的集群中生成實(shí)現(xiàn)。這項(xiàng)工作解決了涉及高帶寬數(shù)據(jù)處理的可伸縮性問(wèn)題。

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