Precise time frequency synchronization technology for bistatic radar

2008 ◽  
Vol 19 (5) ◽  
pp. 929-933 ◽  
Author(s):  
Huang Yulin ◽  
Yang Jianyu ◽  
Wu Junjie ◽  
Xiong Jintao
2014 ◽  
Vol 1 (9(67)) ◽  
pp. 24
Author(s):  
Александр Алексеевич Костыря ◽  
Сергей Александрович Плехно ◽  
Виталий Николаевич Науменко ◽  
Сергей Иванович Ушаков

2021 ◽  
Author(s):  
Vincent Savaux ◽  
Christophe Delacourt ◽  
Patrick Savelli

This paper deals with time and frequency synchronization in LoRa system based on the preamble symbols. A thorough analysis of the maximum likelihood (ML) estimator of the delay (time offset) and the frequency offset shows that the resulting cost function is not concave. As a consequence the a priori solution to the maximization problem consists in exhaustively searching over all the possible values of both the delay and the frequency offset. Furthermore, it is shown that these parameters are intertwined and therefore they must be jointly estimated, leading to an extremely complex solution. Alternatively, we show that it is possible to recover the concavity of the cost function, from which we suggest a low-complexity synchronization algorithm, whose steps are described in detail. Simulations results show that the suggested method reaches the same performance as the ML exhaustive search, while the complexity is drastically reduced, allowing for a real-time implementation of a LoRa receiver. <br>


Author(s):  
O. V. Saltykov ◽  
A. N. Kalinin

The article proposes a method of time-frequency synchronization of an OFDM mo-dem, the input of which receives signals from the elements of the antenna array. The method is based on the combined action of correlation procedures for entering into communication and spatial selection, which clears the signal from interference based on the criterion of the minimum difference between the received signal and the test combination.


Author(s):  
Julien Lepine ◽  
Vincent Rouillard ◽  
Michael Sek

Goods and products transported by road are subjected to vehicle vibration which, without proper protective packaging, can suffer damage. To reduce shipment costs, protection has to be optimised to limit product damage occurrence while keeping packaging weight and size to a minimum. Optimisation is realized by simulating the vibration of transport vehicles. To achieve an accurate simulation, each vehicle vibration mode has to be modelled. These include: the nonstationary random vibration induced by road roughness and speed variations, the transient vibration created by road surface aberrations and the harmonic vibration created by the vehicle engine and drive train. Identifying and indexing these mixed-modes within complex road vehicle vibration signals is essential to define the severity and occurrence of the different modes in order to develop an accurate model. This paper shows that indexing can be performed using the orthogonal wavelet transform such as Daubechies 10. Assuming that each mode is preponderant in different analysis scales, the wavelet coefficients can be used to perform the indexing. This allows more sensitive mode detection and a more precise time indexing thanks to the multi-resolution nature of the wavelet transform compared to other time-frequency analysis methods.


2020 ◽  
Vol 57 (5) ◽  
pp. 050004
Author(s):  
梁益丰 Liang Yifeng ◽  
许江宁 Xu Jiangning ◽  
吴苗 Wu Miao ◽  
何泓洋 He Hongyang ◽  
江鹏飞 Jiang Pengfei

2014 ◽  
Vol 351 (11) ◽  
pp. 5034-5054 ◽  
Author(s):  
Zhe Jiang ◽  
Xiaohong Shen ◽  
Yao Ge ◽  
Ruiqin Zhao ◽  
Haiyan Wang

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