Studies on Novel Satellite Navigation and Positioning System Anti-Jamming Architecture

2014 ◽  
Vol 551 ◽  
pp. 417-424
Author(s):  
Wen Zhun Huang
Keyword(s):  
Theoretical Analysis ◽  
Frequency Domain ◽  
Power Analysis ◽  
Doa Estimation ◽  
Satellite Navigation ◽  
Architecture Design ◽  
Positioning System ◽  
Time Frequency ◽  
Simulation Results

During the course of studying how to improve and optimize the anti-jamming ability of the satellite navigation and positioning system, the satellite channel was faced with many types of jamming signals. It is difficult to adopt one kind of jamming suppression technology to effectively suppress all kinds of jamming. In order to solve these problems, a new anti-jamming architecture for satellite navigation and positioning system is proposed. That is adopting the jamming cognitive method combined with the time-frequency domain jamming type recognition, power analysis and jamming DOA estimation. Also, the anti-jamming architecture design of the satellite navigation and positioning system is given based on the jamming cognition. Theoretical analysis and simulation results show that the anti-jamming architecture can detect the different jamming signals according to different jamming types, simplify the jamming suppression algorithm, grade and classify to suppress jamming signals.

scholarly journals Design and Implementation of Opportunity Signal Perception Unit Based on Time-Frequency Representation and Convolutional Neural Network

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7871
Author(s):  
Zhongliang Deng ◽  
Hang Qi ◽  
Yanxu Liu ◽  
Enwen Hu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Frequency Domain ◽  
Utilization Efficiency ◽  
Prototype System ◽  
Positioning System ◽  
Signal Recognition ◽  
Positioning Systems ◽  
Time Frequency ◽  
Signal Perception

The traditional signal of opportunity (SOP) positioning system is equipped with dedicated receivers for each type of signal to ensure continuous signal perception. However, it causes a low equipment resources utilization and energy waste. With increasing SOP types, problems become more serious. This paper proposes a new signal perception unit for SOP positioning systems. By extracting the perception function from the positioning system and operating independently, the system can flexibly schedule resources and reduce waste based on the perception results. Through time-frequency joint representation, time-frequency image can be obtained which provides more information for signal recognition, and is difficult for traditional single time/frequency-domain analysis. We also designed a convolutional neural network (CNN) for signal recognition and a negative learning method to correct the overfitting to noisy data. Finally, a prototype system was built using USRP and LabVIEW for a 2.4 GHz frequency band test. The results show that the system can effectively identify Wi-Fi, Bluetooth, and ZigBee signals at the same time, and verified the effectiveness of the proposed signal perception architecture. It can be further promoted to realize SOP perception in almost full frequency domain, and improve the integration and resource utilization efficiency of the SOP positioning system.

Wideband DOA Estimation Method Based on Khatri-Rao Subspace with Uniform Focusing

2014 ◽  
Vol 687-691 ◽  
pp. 4064-4067
Author(s):  
Jin Zhang ◽  
Shi You Qi ◽  
Ai Xia Yong
Keyword(s):  
Theoretical Analysis ◽  
Estimation Method ◽  
Doa Estimation ◽  
Computation Complexity ◽  
Simulation Results ◽  
Effectiveness And Efficiency

A new wideband DOA estimation method based on Khatri-Rao subspace using uniform focusing is presented in this paper. Due to using the uniform focusing matrix which does not require pre-estimating the DOAs of signals in advance, its resolution is improved obviously and its computation complexity is reduced greatly. Meanwhile, it can also resolve more signals than the number of array sensors. Theoretical analysis and simulation results demonstrate the effectiveness and efficiency of the method.

scholarly journals A Fourth-Order Cumulants Orthonormal Propagator Rooting Method Based on Toeplitz Approximation

2020 ◽  
Author(s):  
Heping Shi ◽  
Ning Ma ◽  
Zhiwei Guan ◽  
Lizhu Zhang ◽  
Shan Jiang
Keyword(s):  
Computational Complexity ◽  
Theoretical Analysis ◽  
Fourth Order ◽  
Linear Array ◽  
Doa Estimation ◽  
Redundant Information ◽  
Uniform Linear Array ◽  
Color Noise ◽  
Reduced Dimension ◽  
Simulation Results

Abstract A novel Toeplitz fourth-order cumulants (\operatorname{FOC} ) orthonormal propagator rooting method {\text{(TFOC-OPRM)}} to direction-of-arrival (DOA) estimation for uniform linear array (ULA) is addressed in this paper. Specifically, the modified (reduced-dimension) FOC{\kern 1pt} {\kern 1pt} (MFOC) matrix is achieved at first via removing the redundant information encompassed in the primary FOC matrix, and then the TFOC matrix which possesses Toepltiz structure can be recovered by utilizing the Toepltiz approximation method. To reduce computational complexity, we adopt an effective method which depends on the polynomial rooting technology. Finally, the DOAs of incident signals can be estimated by exploiting orthonormal propagator rooting method. The theoretical analysis coupled with simulation results show that the proposed resultant algorithm can reduce computational complexity significantly, as well as improve the estimation performance in both spatially-white noise and spatially-color noise environments.

Direction of Arrival Estimation Under Near-Field Interference Using Matrix Filter

2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan
Keyword(s):  
Near Field ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Far Field ◽  
Data Simulation ◽  
Estimation Algorithms ◽  
Simulation Results

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.

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