In the Global Navigation Satellite System (GNSS), the multipath error affected by many aspects is the main error source that affects satellite navigation, and it is difficult to establish a much more accurate model to analyze it. Based on the ground multipath reflection model, it firstly deeply studies the influence of GNSS satellite orbit parameters on multipath fading frequency and establishes a multipath signal model related to satellite orbit parameters. Secondly, the influence of carrier phase cycle slip, receiver clock adjustment, and GNSS satellite orbit on multiparameter- (MP-) combined observations is analyzed in detail based on the measured data. Finally, aiming at the common phenomenon of code-carrier divergence in the Beidou system, the elevation-based pseudorange correction model and a sidereal filtering are built to correct the MP errors; experiments with measured data show that there is a fluctuation range reduction of 35.7% after sidereal filtering when the receiver reaches a steady state.

/pdf/a-multipath-processing-technology-based-on-multiparameter-1dct0nxbxv.pdf

A Multipath Processing Technology Based on Multiparameter-Combined Observation in GNSS

A mobile Adhoc network is a self-organizing, infrastructure-free network that operates without a centralized management system. Nodes depend on other nodes to keep the network linked to complex routes and companies depend on other companies to communicate between nodes. The mobile adhoc network recently developed and high-density areas, according to security, are an impossible problem. To overcome this problem, DBSCPR clustering algorithm based Advanced Secure Signature-based Multipath Routing (AS2MR) is proposed. The MANET is used to propose advanced secure signatures to support. The DBSCPR is a Good algorithm and reduces network route path selection. In AS2MR, cluster formation is performed by the DBSCPR algorithm with the balanced set. Energy consumption, obtained signal power, mobility, congestion rate, cooperation rate, and network lifetime are chosen as Cluster Head (CH) efficiency measurements to predict the degree of trust. The challenge of developing a guiding protocol for calculating large mobile ad hoc networks has been demonstrated in several studies. The Density-Based Spatial Clustering Presentation with Racket (DBSCPR) algorithm network architecture proposed in this article is designed to be compatible. Based on the location, Core point, boundary point, and noise point of the section, the package implementation divides data points into three categories. Uses information from above to build route finders and distributes traffic across several routes. The proposed estimation techniques compare the ratio level analysis, the efficient performance study of the divergent path recognition output based on infiltration detection, and the simulation results. As a result, the Discovery mechanism does not require flooding, which reduces overhead and develops knowledge replication.

Advanced Secure Signature based Multipath Routing protocol for MANET using Density based Spatial Clustering Algorithm

A mobile Adhoc network is a self-organizing, infrastructure-free network that operates without a centralized management system. Nodes depend on other nodes to keep the network linked to complex routes and companies depend on other companies to communicate between nodes. The mobile adhoc network recently developed and high-density areas, according to security, are an impossible problem. To overcome this problem, DBSCPR clustering algorithm based Advanced Secure Signature-based Multipath Routing (AS2MR) is proposed. The MANET is used to propose advanced secure signatures to support. The DBSCPR is a Good algorithm and reduces network route path selection. In AS2MR, cluster formation is performed by the DBSCPR algorithm with the balanced set. Energy consumption, obtained signal power, mobility, congestion rate, cooperation rate, and network lifetime are chosen as Cluster Head (CH) efficiency measurements to predict the degree of trust. The challenge of developing a guiding protocol for calculating large mobile ad hoc networks has been demonstrated in several studies. The Density-Based Spatial Clustering Presentation with Racket (DBSCPR) algorithm network architecture proposed in this article is designed to be compatible. Based on the location, Core point, boundary point, and noise point of the section, the package implementation divides data points into three categories. Uses information from above to build route finders and distributes traffic across several routes. The proposed estimation techniques compare the ratio level analysis, the efficient performance study of the divergent path recognition output based on infiltration detection, and the simulation results. As a result, the Discovery mechanism does not require flooding, which reduces overhead and develops knowledge replication. 

Radio frequency (RF) relative measurement provides an effective means of communication and autonomous navigation for the spacecraft formation flying. Multipath and Doppler are two main factors that affect the accuracy of RF relative measurement. In this study, a framework that exploits joint multipath-Doppler diversity is proposed to reduce multipath errors and improve the measurement accuracy. The proposed framework first utilizes an Extended Kalman Filter (EKF) estimator to estimate the parameters of Doppler and multipath. Different from existing research, the proposed framework reconstructs the received signal according to the estimated parameters, so as to mitigate multipath signals and enhance the direct signal. Numerical results demonstrate that the framework is suitable for both multipath and multipath-Doppler scenarios, and has a significant performance improvement over existing multipath mitigation methods.

/pdf/a-framework-of-multipath-mitigation-with-joint-multipath-4ajozyncpq.pdf

Lantu Guo

Papers

A Framework of Multipath Mitigation With Joint Multipath-Doppler Diversity for RF Relative Measurement