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基于压缩感知的uwb mimo雷达信号处理技术研究.docx


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研究生优秀毕业论文
Abstract
UWB MIMO radar systems with the characteristics of waveform diversity and space diversity have advantages on and due to the multiple array structures adopting by the transmitter and the receiver,it will bring the huge challenges to signal acquisition and processing for the radar we use the signal acquisition and processing method based on traditional Nyquist sampling theorem,it is bound to cause difficulties on system implementation and real—time sensing (CS)technology is a new rapidly developing technology based on pressed transform
and data studies have shown that CS technique Can reduce the rate of
signal sampling and the overall amount of data has wide application prospects in the UWB MIMO radar signal thesis focus on aspects of transmitting signal
waveform,system architecture,sparse transform and signal reconstruction based on the need of relevant research subject of a UWB MIMO radar.
This thesis mainly focus on the following aspects:
Firstly,orthogonal waveform design for the UWB MIMO radar transmitting transmit signals in this thesis adopt the ultra-wideband OFDM—LFM signals and Morlet wavelet then the thesis calculates and simulates the transmit signals’ and cross-correlation properties for verifying the feasibility of the above two
kinds of waveform as the transmitting signals of MIMO radar.
Secondly,system structure analyzing and radar signal modeling for MIMO modeling,the locations of transmitting arrays are random spatial diversity distribution,and the receiving arrays are co-located main purpose of adopting transmit diversity structure is to exploit the spatial diversity gain to improve the target detection ,the thesis analyzes and establishes a model in radar system under
certain scenarios、析th sparse target distribution.

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  • 页数58
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  • 上传人wz_198613
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  • 时间2018-06-25