A measurement method for Doppler frequency rate-of-change with coherent pulse train

2010 ◽  
Author(s):  
Chunlai Yu ◽  
Fang Wan ◽  
Minghao He ◽  
Changxiao Chen
Keyword(s):  
Pulse Train ◽  
Measurement Method ◽  
Doppler Frequency ◽  
Rate Of Change ◽  
Frequency Rate ◽  
Coherent Pulse

A FrFT Based Algorithm for Doppler Frequency Rate Estimation from LFM Coherent Pulse Train

2010 ◽  
Vol 32 (11) ◽  
pp. 2718-2723 ◽  
Author(s):  
Hong Li ◽  
Yu-liang Qin ◽  
Yan-peng Li ◽  
Hong-qiang Wang ◽  
Xiang Li
Keyword(s):  
Pulse Train ◽  
Doppler Frequency ◽  
Rate Estimation ◽  
Frequency Rate ◽  
Coherent Pulse

scholarly journals Modeling of Doppler frequency shift in multipath radiochannels

2016 ◽  
Vol 2 (2) ◽  
pp. 57-63
Author(s):  
Максим Пензин ◽  
Maksim Penzin ◽  
Николай Ильин ◽  
Nikolay Ilyin
Keyword(s):  
Frequency Shift ◽  
Pulse Sequence ◽  
Radio Channel ◽  
Doppler Frequency ◽  
Single Pulse ◽  
Signal Propagation ◽  
Doppler Frequency Shift ◽  
Rate Of Change ◽  
Change In The Mean ◽  
Coherent Pulse

We discuss the modeling of propagation of a quasi-monochromatic radio signal, represented by a coherent pulse sequence, in a non-stationary multipath radio channel. In such a channel, signal propagation results in the observed frequency shift for each ray (Doppler effect). The modeling is based on the assumption that during propagation of a single pulse a channel can be considered stationary. A phase change in the channel transfer function is shown to cause the observed frequency shift in the received signal. Thus, instead of measuring the Doppler frequency shift, we can measure the rate of change in the mean phase of one pulse relative to another. The modeling is carried out within the framework of the method of normal waves. The method enables us to model the dynamics of the electromagnetic field at a given point with the required accuracy. The modeling reveals that a local change in ionospheric conditions more severely affects the rays whose reflection region is in the area where the changes occur.

Real-Time Measurement Method of Doppler Based on GPS Carrier Signals

2012 ◽  
Vol 226-228 ◽  
pp. 2050-2055 ◽  
Author(s):  
Shao Feng Dong ◽  
Bao Qiang Du ◽  
Wei Zhou
Keyword(s):  
Frequency Shift ◽  
Real Time ◽  
Measurement Method ◽  
Dynamic Range ◽  
Time Synchronization ◽  
Influencing Factor ◽  
Doppler Frequency ◽  
Time Measurement ◽  
Time Frequency ◽  
Real Time Measurement

According to Doppler effect of satellite on the time synchronization technology between satellite and the ground station, a real-time measurement method of Doppler is proposed based on GPS carrier signals. Using Doppler observations from GPS receiver, the method can real-timely measure Doppler frequency shift of GPS including dynamic Doppler and media Doppler whose error can be timely modified in the receiver end. Simulation results show that the frequency shift caused by dynamic Doppler, a main influencing factor in the course of transmission of time-frequency signal by GPS satellite, is between plus or minus several thousands Hz. Comparing to traditional measurement method of Doppler, the method makes it possible to fast track phase of signal in large dynamic range in synchronous technology.

scholarly journals Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Yunjian Zhang ◽  
Zhenmiao Deng ◽  
Jianghong Shi ◽  
Linmei Ye ◽  
Maozhong Fu ◽  
...  
Keyword(s):  
Message Passing ◽  
Pulse Train ◽  
Pulse Repetition Frequency ◽  
Doppler Frequency ◽  
Sparse Sampling ◽  
Sampling Frequency ◽  
Sensing Matrix ◽  
Approximate Message Passing ◽  
Target Characteristic ◽  
Novel Method

A novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting time is transmitted. The received signals after matched filtering can be viewed as randomly sparse sampling from the traditional fixed-pulse repetition frequency (PRF) echo signals. The whole target echo could be reconstructed via CS recovery algorithms. Through refining the sensing matrix, which is equivalent to increase the sampling frequency of target characteristic, the Doppler unambiguous range is enlarged. In particular, Complex Approximate Message Passing (CAMP) algorithm is developed to estimate the unambiguity Doppler frequency. Cramer-Rao lower bound expressions are derived for the frequency. Numerical simulations validate the effectiveness of the proposed method. Finally, compared with traditional methods, the proposed method only requires transmitting a few sparse probing pulses to achieve a larger Doppler frequency unambiguous range and can also reduce the consumption of the radar time resources.

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