2017
DOI: 10.1109/access.2017.2730223
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A ULA-Based MWC Discrete Compressed Sampling Structure for Carrier Frequency and AOA Estimation

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Cited by 19 publications
(24 citation statements)
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“…1, the number of array elements is L, and the number of branches is M with M < L. We design to detect and acquire the signal pulse in a very short time by using the proposed receiver. There would be only one signal detected and acquired in the short time [15]. Suppose that there is only one far-field narrowband signal s(t) impinging on the proposed CULA-based system with a Nyquist sampling rate f NY Q = 1/T NY Q ; the signal vector x(t) received by L antennas is…”
Section: Principle Of the Cula-based Systemmentioning
confidence: 99%
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“…1, the number of array elements is L, and the number of branches is M with M < L. We design to detect and acquire the signal pulse in a very short time by using the proposed receiver. There would be only one signal detected and acquired in the short time [15]. Suppose that there is only one far-field narrowband signal s(t) impinging on the proposed CULA-based system with a Nyquist sampling rate f NY Q = 1/T NY Q ; the signal vector x(t) received by L antennas is…”
Section: Principle Of the Cula-based Systemmentioning
confidence: 99%
“…The low-pass filter h[n] is designed as an ideal filter with the cut-off frequency f s /2. We denote the mixing rate f s as f s = f p = 1/T p = f NY Q /M p , and f p ≥ B is designed to avoid edge effects [15]. According to spectrum segmentation characteristics of the MWC discrete CS system analysed in [15], the incident signal will only exist in an unknown sub-band l , and the spectrum information in other subbands can be approximately ignored.…”
Section: Low-pass Filtermentioning
confidence: 99%
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