Research on MIMO Radar Based on Orthogonal Signal in the Present of Non-Ideal Factor

2015 ◽  
Vol 9 (1) ◽  
pp. 579-583
Author(s):  
Zhi-Ming Dong ◽  
Jian-Kui Zeng

Non-ideal factors of transmitting signal are known as a kind of restriction to the performance of radar, especially the ability of finding the weak target. In this paper, the performance of MIMO radar in the aspect of weak target detection is researched. Firstly, the theory model of MIMO signal is presented. And then, a simulation system based on orthogonal signal is established. In this simulation platform, the performance of MIMO radar and phased array radar are studied. Simulation results show that for the same receiver limiting factor, the statistical error probability of MIMO radar is much lower than traditional phased array mode.

2020 ◽  
Author(s):  
Yanping Liao ◽  
Zenan Wu

Abstract Because the beam pattern of the conventional phased array or MIMO radar is only related to the angle dimension, it is difficult to suppress the incident interference when it is in the mainlobe or at the same angle of the desired signal. According to the development demand of mainlobe anti-interference technology. In this paper, a space - time blocking matrix processing algorithm based on FDA is proposed. The algorithm gives the specific structure of the blocking matrix, which can not only avoid the interference of the same angle and different distances, but also eliminate the interference signal in the direction of the mainlobe without affecting the energy of other incident signals, so as to ensure the good shape of the beam pattern. The simulation results show that the algorithm can successfully suppress the mainlobe interference and has good beam-conformal.


2017 ◽  
Vol 2 (3) ◽  
pp. 235
Author(s):  
Massimiliano Laddomada ◽  
Bartolo Scanavino

The aim of this paper is twofold. On one hand, it presents the results of the search for good punctured systematicrecursive convolutional encoders suitable for application in serially concatenated convolutional codes (SCCCs) operating in two different target regions: at low-to moderate signal-to-noise ratios (SNRs), i.e., in the so called waterfall region, and at high SNRs. On the other hand, it provides some useful design guidelines for choosing the constituent encoders in an SCCC. The results of the search for good SCCCs operating in the waterfall region rely upon an effective algorithm, based on density evolution technique, first proposed in a companion paper. Good punctured SCCCs were obtained through considerationsdeduced by the behaviour of the bit error probability of an SCCC for high values of both SNR and interleaver length, i.e., through asymptotic considerations. The mother codes in the serial concatenation are rate 1/2 recursive convolutional encoders (RCC) found by an exhaustive search for encoders tailored to SCCC schemes, using two different selection criteria. Extensive tables of optimized puncturing patterns for various mother codes and SCCCs are presented along with sample simulation results.


2011 ◽  
Vol 88-89 ◽  
pp. 244-249 ◽  
Author(s):  
Shou Jiang Cai ◽  
Pei Liang Wang ◽  
Zhi Duan Cai ◽  
Jian Hua Mao

Intermittent scan tracking (IST) is a maximum power point tracking (MPPT) method of photovoltaic system. The scanning approach of this method generally is order scanning. But this scanning mode has the weaknesses of the huge storage space and excessive amount of calculation. To eliminate these defects, this paper proposes a new scanning mode, i.e. nested scanning. To verify the effectiveness of the proposed method, a simulation system was modeled based on Matlab/Simulink. In the experiment two scanning modes above were compared and the simulation results proved that, on the premise that the accuracy of results is guaranteed, nested scanning mode can effectively decrease the quantity of required scanning voltages and currents, reduce the amount of calculation and improve the scanning efficiency.


2010 ◽  
Vol 40-41 ◽  
pp. 361-365
Author(s):  
Ya Qin Fan ◽  
Hao Fan ◽  
Chao Sun

This paper features of IPSec and MPLS technologies, proposes a suitable MPLS VPN security solutions. The program to solve the VPN using MPLS backbone network in the public transport there is a second layer of information can not automatically encrypt, or connect easily made because of errors due to the interruption of information disclosure and other issues. To verify the proposed security program, the actual MPLS VPN can be simplified, abstracestablishing a simulation system MPLS VPN, and using OPNET simulation software simulation, simulation results of VPN officers practical reference value.


Author(s):  
Magda Foti ◽  
Manolis Vavalis

This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale e-markets. Based on an existing simulation system, the authors present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics are presented.


2016 ◽  
Vol 9 (4) ◽  
pp. 1627-1645 ◽  
Author(s):  
Yi Heng ◽  
Lars Hoffmann ◽  
Sabine Griessbach ◽  
Thomas Rößler ◽  
Olaf Stein

Abstract. An inverse transport modeling approach based on the concepts of sequential importance resampling and parallel computing is presented to reconstruct altitude-resolved time series of volcanic emissions, which often cannot be obtained directly with current measurement techniques. A new inverse modeling and simulation system, which implements the inversion approach with the Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) is developed to provide reliable transport simulations of volcanic sulfur dioxide (SO2). In the inverse modeling system MPTRAC is used to perform two types of simulations, i.e., unit simulations for the reconstruction of volcanic emissions and final forward simulations. Both types of transport simulations are based on wind fields of the ERA-Interim meteorological reanalysis of the European Centre for Medium Range Weather Forecasts. The reconstruction of altitude-dependent SO2 emission time series is also based on Atmospheric InfraRed Sounder (AIRS) satellite observations. A case study for the eruption of the Nabro volcano, Eritrea, in June 2011, with complex emission patterns, is considered for method validation. Meteosat Visible and InfraRed Imager (MVIRI) near-real-time imagery data are used to validate the temporal development of the reconstructed emissions. Furthermore, the altitude distributions of the emission time series are compared with top and bottom altitude measurements of aerosol layers obtained by the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) satellite instruments. The final forward simulations provide detailed spatial and temporal information on the SO2 distributions of the Nabro eruption. By using the critical success index (CSI), the simulation results are evaluated with the AIRS observations. Compared to the results with an assumption of a constant flux of SO2 emissions, our inversion approach leads to an improvement of the mean CSI value from 8.1 to 21.4 % and the maximum CSI value from 32.3 to 52.4 %. The simulation results are also compared with those reported in other studies and good agreement is observed. Our new inverse modeling and simulation system is expected to become a useful tool to also study other volcanic eruption events.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2453 ◽  
Author(s):  
Guangyong Zheng ◽  
Siqi Na ◽  
Tianyao Huang ◽  
Lulu Wang

Distributed multiple input multiple output (MIMO) radar has attracted much attention for its improved detection and estimation performance as well as enhanced electronic counter-counter measures (ECCM) ability. To protect the target from being detected and tracked by such radar, we consider a barrage jamming strategy towards a distributed MIMO. We first derive the Cramer–Rao bound (CRB) of target parameters estimation using a distributed MIMO under barrage jamming environments. We then set maximizing the CRB as the criterion for jamming resource allocation, aiming at degrading the accuracy of target parameters estimation. Due to the non-convexity of the CRB maximizing problem, particle swarm optimization is used to solve the problem. Simulation results demonstrate the advantages of the proposed strategy over traditional jamming methods.


Metals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 788 ◽  
Author(s):  
Umut Hanoglu ◽  
Božidar Šarler

In this work, a rolling simulation system for the hot rolling of steel is elaborated. The system is capable of simulating rolling of slabs and blooms, as well as round or square billets, in different symmetric or asymmetric forms in continuous, reversing, or combined rolling. Groove geometries are user-defined and an arbitrary number of rolling stands and distances between them may be used. A slice model assumption is considered, which allows the problem to be efficiently coped with. The related large-deformation thermomechanical problem is solved by the novel meshless Local Radial Basis Function Collocation Method. A compression test is used to compare the simulation results with the Finite Element Method. A user-friendly rolling simulation application has been created for the industrial use based on C# and .NET framework. Results of the simulation, directly taken from the system, are shown for each type of the rolling mill configurations.


2016 ◽  
Vol 83 (8) ◽  
Author(s):  
Carlos Arreaza ◽  
Kamran Behdinan ◽  
Jean W. Zu

This paper presents the analysis and study of common shimmy dampers used today for main landing gears with the use of analytical and numerical tools. The shimmy phenomenon is studied by using the tire stretched string theory model and by developing linear approximations of the dynamics of a single tire landing gear. The dynamics of commonly used shimmy dampers are then incorporated into the model. The objectives of this paper are to study already developed shimmy damper designs and to develop tools to design a new innovative and better shimmy damper for main landing gears, those which have nonsteerable wheels. Two shimmy damper designs are studied in this paper, one developed by Boeing and another by UTC Aerospace Systems (UTAS). A linear approximation of the dynamics of these dampers is obtained, omitting the freeplay, saturation, and nonlinear dynamics. Stability plots are then created by changing the system's parameters, such as the velocity, caster length, and the shimmy damper stiffness and damping coefficients. These plots show the comparison of using a UTC two-arm design against the Boeing damper, for which the former spans larger zones of stability but requires higher damping coefficients due to the UTC damper's geometry which is very impractical. In addition, a multibody model is developed in MSC adams (from MSC Software Corporation) to study the dynamic response of these systems and to create a modeling tool that can be used to design a new and improved shimmy damper for main landing gears. The simulation results from the model show the disadvantages of using the UTC two-arm damper, which include an asymmetrical vibration response. Further recommendations are given to design an improved shimmy damper.


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