GPS Signal Acquisition Based on Compressive Sensing and Modified Greedy Acquisition Algorithm

He, Guodong; Song, Maozhong; He, Xin; Hu, Yi

doi:10.1109/access.2019.2906682

Cited by 13 publications

(9 citation statements)

References 24 publications

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“…Though the DSSS component of the received TH pseudolite signal is discontinuous, the method for acquiring the PRN code initial phase of continuous GNSS satellite signal still can be used to acquire the PRN code initial phase of TH pseudolite signal [18], [20]. Often the known parallel PRN code phase acquisition method [21], [22] can be chosen to fulfill this work.…”

Section: B Acquiring Of the Prn Code Initial Phase Of Dsss Componentmentioning

confidence: 99%

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Song

et al. 2020

IEEE Access

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The pulse position detection of the pseudorandom time-hopping (TH) pseudolite is critical for the participative global navigation satellite system (GNSS) receivers. The conventional method to detect the pseudorandom TH pulse positions of the received pseudolite signal is mainly based on the exhaustive search of the matched TH intervals, which may cause low detection probability or even detection failure in relatively low signal to noise ratio (SNR) environments. With this problem, a new method to detect the TH pulse positions is given. The general process of the given method is that first the TH intervals derived from the correlation peaks of discontinuous direct sequence spread spectrum (DSSS) component are mapped to a code sequence, and then the mapped code sequence is circularly correlated in turn with each code sequence obtained from each group of TH slot indices of the TH table, finally by searching the maximum circular correlation peak, the TH slot indices of the received pseudolite signal and their initial phase will be found, further by combining them the work of TH pulse position detection is fulfilled. The simulation results show that with the given method, the detection probability and detection error of the obtained TH pulse positions can be greatly improved, hence the performance of the participative GNSS receivers will be enhanced.

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Section: B Acquiring Of the Prn Code Initial Phase Of Dsss Componentmentioning

confidence: 99%

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Song

et al. 2020

IEEE Access

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“…As can be seen, as long as N is greater than 3, we can get the coordinate of ðx, y, zÞ by solving (2). Actually, we need another equation to solve the coordinate due to the existence of satellite clock error [19,20], which will not be detailed discussed here.…”

Section: Principle Of the Rtk Technologymentioning

confidence: 99%

“…The precision can only reach meters under this condition, which limits the application. As a result, more than two global position system (GPS) [19,20] receivers are utilized in the RTK system to eliminate the errors. One receiver is mounted on a predefined location as the reference, whereas other receivers are used as the mobile stations to test the interested locations.…”

Section: Principle Of the Rtk Technologymentioning

confidence: 99%

Achieving Millimetre Wave Seeker Performance Evaluation Based on the Real-Time Kinematic

Chen

Liu

et al. 2020

Journal of Sensors

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The millimetre wave (MMW) seeker can realize target detection under all weather conditions, the performance of which directly determines the design of the control algorithms. To guarantee the hitting accuracy and damaging effect of the expensive MMW guidance missile, assessing the performance of the seeker is indispensable before the launching of the missile. Real tactical environment of the seeker cannot be simulated comprehensively by indoor laboratories, and high-precision evaluation method outdoor is desperately needed. Focusing on the problem, a method for outdoor MMW seeker performance evaluation is proposed via the real-time kinematic (RTK) technology in this paper, which has the advantages of high-precision orientation and working ability under all climates. Firstly, the geometry of the seeker performance evaluation system is constructed, guaranteeing the effective working of the RTK. And then, the key parameters associated with the guidance control are calculated on the basis of the global position system (GPS) measurements. Finally, comparisons are made between the parameters obtained based on the RTK and the seeker outputs. Besides, for the performance assessment of the MMW seeker towards moving targets, a time synchronization method for different GPS carrier platforms is presented. The effectiveness of the proposed method is validated by the mooring test-fly experiments. Experimental results demonstrate that the performance of the MMW seeker can be evaluated effectively by using the proposed RTK-based method.

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“…Candès et al [3] and Donoho [4] proposed the theory of compressive sensing (CS) in 2006, which can sample the sparse signal at low sampling rate. Currently, the research and application fields of CS include radar signal arrival angle estimation [5,6], satellite navigation signal processing [7][8][9], and sparse radar design [10][11][12][13]. The CS signal reconstruction needs to recover the original high-dimensional signal from a small amount of measurement data.…”

Section: Introductionmentioning

confidence: 99%

GPS Sparse Multipath Signal Estimation Based on Compressive Sensing

Song

Zhang

et al. 2021

Wireless Communications and Mobile Computing

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A GPS sparse multipath signal estimation method based on compressive sensing is proposed. A new 0 norm approximation function is designed, and the parameter of the approximate function is gradually reduced to realize the approximation of 0 norm. The sparse signal is reconstructed by a modified Newton method. The reconstruction performance of the proposed algorithm is better than several commonly reconstruction algorithms at different sparse numbers and noise intensities. The GPS sparse multipath signal model is established, and the sparse multipath signal is estimated by the proposed reconstruction algorithm in this paper. Compared with several commonly used estimation methods, the estimation error of the proposed method is lower.

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GPS Signal Acquisition Based on Compressive Sensing and Modified Greedy Acquisition Algorithm

Cited by 13 publications

References 24 publications

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Achieving Millimetre Wave Seeker Performance Evaluation Based on the Real-Time Kinematic

GPS Sparse Multipath Signal Estimation Based on Compressive Sensing

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