Sampling LFM Signal with Stretch Processing based on Finite Rate of Innovation Method

Wei, Zhiliang; Fu, Ning; Wang, Yan; Jiang, Siyi; Qiao, Liyan

doi:10.1109/i2mtc50364.2021.9460101

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…The s ( t ) in Figure 1 is the real‐valued part of the LFM signal [7, 8]. s ( t ) passes through channel 1 and channel 2, respectively, where the signal undergoes a delay operation in channel 1, and in channel 2, it first undergoes Hilbert filtering and then a delay operation to synthesize the output of channel 1 and channel 2 into the sampling system for sampling.…”

Section: Introductionmentioning

confidence: 99%

A parameter estimation method with improved finite rate of innovation sampling for linear frequency modulation signals

Meng¹,

Meng²,

Wang³

2023

Electronics Letters

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To complete the sparse sampling of linear frequency modulation (LFM) signals and estimate the parameters, the authors proposed an improved finite rate of innovation (FRI) system to achieve the goal. First the authors build a mathematical model based on the Z‐transform, then they input the LFM signal into the modified FRI system and process the output of the system based on this mathematical model, which enables the estimation of the parameters of the LFM signal using only four sampling points. The error of the final experimental results can be controlled within 3%, which greatly improves the efficiency of LFM signal parameter estimation.

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Section: Introductionmentioning

confidence: 99%