5.1.2长短基线联合测向 五元阵中相邻天线两两也可组成5条基线,并用天线编号表示为1—2,2—3, 3.4,4.5,5.1。这5条基线比间隔天线组成的基线要短一些,称为较短基线。下 面给出同时使用5条较长基线和5条较短基线测向的计算方法,此时拥有10项 相位信息而不是5项相位信息。 首先求出较短基线的相关公式。较短基线对应的理想相差为 y品=一2kRsin36·sin(Ijo一36) l;c,墨=2kRsin36。-sin(q'+72‘) y品=一2ksin36·sin々o (5-12) 坨=2k sin36·sin(o-72) 蛇=一2kR sin36·sin(q,+36 1 对(5-12)进行归一处理,两边同时除以系数2kReos36。,可得 蛇⋯sin(rp 36。) 驴墨=sin(tp+72。) 驴三=一simp。 (5—13) 矿品=sin(q,一72。) 或=一sin(q,+36。) 设5条较短基线实测相位差分别为矿。y:,,】;c,。妒。,,y"除以系数 2kRcos36。归一化后为蛾2,妒Ⅲ驴3d,矿45,矿5l。
2021-11-23 19:07:44 1.55MB 测向
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Advanced Multicore Systems-On-Chip: Architecture, On-Chip Network, Design By 作者: Abderazek Ben Abdallah ISBN-10 书号: 9811060916 ISBN-13 书号: 9789811060915 Edition 版本: 1st ed. 2017 出版日期: 2017-09-12 pages 页数: (273 ) Springer 出版超清 From basic architecture, interconnection, and parallelization to power optimization, this book provides a comprehensive description of emerging multicore systems-on-chip (MCSoCs) hardware and software design. Highlighting both fundamentals and advanced software and hardware design, it can serve as a primary textbook for advanced courses in MCSoCs design and embedded systems. The first three chapters introduce MCSoCs architectures, present design challenges and conventional design methods, and describe in detail the main building blocks of MCSoCs. Chapters 4, 5, and 6 discuss fundamental and advanced on-chip interconnection network technologies for multi and many core SoCs, enabling readers to understand the microarchitectures for on-chip routers and network interfaces that are essential in the context of latency, area, and power constraints. With the rise of multicore and many-core systems, concurrency is becoming a major issue in the daily life of a programmer. Thus, compiler and software development tools are critical in helping programmers create high-performance software. Programmers should make sure that their parallelized program codes will not cause race condition, memory-access deadlocks, or other faults that may crash their entire systems. As such, Chapter 7 describes a novel parallelizing compiler design for high-performance computing. Chapter 8 provides a detailed investigation of power reduction techniques for MCSoCs at component and network levels. It discusses energy conservation in general hardware design, and also in embedded multicore system components, such as CPUs, disks, displays and memories. Lastly, Chapter 9 presents a real embedded MCSoCs system design targeted for health monitoring in the elderly.
2021-11-23 14:00:52 14.66MB Network
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基于推测度传播的同步CDMA多用户检测器,程宏,谢俗子,本文提出了基于可信度传播算法应用于同步CDMA系统的检测器以抑制不同用户之间的多址干扰(MAI)。仿真分析表明基于该算法的差错概��
2021-11-23 11:23:16 143KB Belief propagation
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Created by Yuntao Qiang, for OS Class. Pls feel free to use this resource
2021-11-22 19:00:48 497KB os
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非线性回归方法的锂离子卫星动力系统的RUL和SOH估计 链接到数据集可以在找到
2021-11-22 15:28:14 2.4MB 系统开源
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This comprehensive book provides detailed materials for both novice and experienced programmers using all BeagleBone variants which host a powerful 32-bit, super-scalar TI Sitara ARM Cortex A8 processor. Authored by Steven F. Barrett and Jason Kridner, a seasoned ECE educator along with the founder of Beagleboard.org, respectively, the work may be used in a wide variety of projects from science fair projects to university courses and senior design projects to first prototypes of very complex systems. Beginners may access the power of the "Bone" through the user-friendly Bonescript examples. Seasoned users may take full advantage of the Bone's power using the underlying Linux-based operating system, a host of feature extension boards (Capes) and a wide variety of Linux community open source libraries. The book contains background theory on system operation coupled with many well-documented, illustrative examples. Examples for novice users are centered on motivational, fun robot projects while advanced projects follow the theme of assistive technology and image processing applications. Key Features: Provides detailed examples for all BeagleBone variants, including the newest "next generation" BeagleBone Black BeagleBone is a low cost, open hardware, expandable computer first introduced in november 2011 by beagleboard BeagleBone variants, including the original BeagleBone and the new beaglebone black, hosts a powerful 32-bit, super-scalar arM Cortex A8 processor BeagleBone is small enough to fit in a small mint tin box "Bone" may be used in a wide variety of projects from middle school science fair projects to university courses and senior design projects to first prototypes of very complex systems Novice users may access the power of the bone through the user-friendly bonescript environment Seasoned users may take full advantage of the Bone's power using the underlying Linux-based operating system A host of feature extension boards (Capes) and a wide variety of Linu
2021-11-21 19:03:48 12.59MB BeagleBone Black
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Dynamical Systems with Applications using MATLAB %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % DYNAMICAL SYSTEMS WITH APPLICATIONS USING MATLAB % % COPYRIGHT BIRKHAUSER 2004 STEPHEN LYNCH % % PUBLISHED June 2004 % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CONTENTS Preface 0. A Tutorial Introduction to MATLAB and the Symbolic Math Toolbox 0.1 Tutorial One: The Basics and the Symbolic Math Toolbox (1 Hour) 0.2 Tutorial Two: Plots and Differential Equations (1 Hour) 0.3 MATLAB Program Files, or M-Files 0.4 Hints for Programming 0.5 MATLAB Exercises 1. Linear Discrete Dynamical Systems 1.1 Recurrence Relations 1.2 The Leslie Model 1.3 Harvesting and Culling Policies 1.4 MATLAB Commands 1.5 Exercises 2. Nonlinear Discrete Dynamical Systems 2.1 The Tent Map and Graphical Iterations 2.2 Fixed Points and Periodic Orbits 2.3 The Logistic Map, Bifurcation Diagram, and Feigenbaum Number 2.4 Gaussian and Henon Maps 2.5 Applications 2.6 MATLAB Commands 2.7 Exercises 3. Complex Iterative Maps 3.1 Julia Sets and the Mandelbrot Set 3.2 Boundaries of Periodic Orbits 3.3 MATLAB Commands 3.4 Exercises 4. Electromagnetic Waves and Optical Resonators 4.1 Maxwell's Equations and Electromagnetic Waves 4.2 Historical Background of Optical Resonators 4.3 The Nonlinear Simple Fibre Ring Resonator 4.4 Chaotic Attractors and Bistability 4.5 Linear Stability Analysis 4.6 Instabilities and Bistability 4.7 MATLAB Commands 4.8 Exercises 5. Fractals and Multifractals 5.1 Construction of
2021-11-20 20:54:17 81KB Dynamical System MATLAB Lynch
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Signals and Systems (信号与系统) Second Edition Oppenheim Solutions 英文原版 本书全面系统地论述了信号与系统分析的基本理论和方法。全书共11章,内容包括:信号与系统、线性时不变系统,周期信号的傅里叶级数表示,连续和离散时间傅里叶变换,信号与系统的时域和频域特性,采样,通信系统,拉普拉斯和z变换以及线性反馈系统。每章都有足够数量的例题和大量精选的习题;并将习题分列为4种栏目,分属3种不同的层次,便于使用。    本书是在第1版基础之上经重新组织,重新改写并作补充而成,除保留原书结构新颖,选材得当,论述严谨,条理清楚等特色外,在某些方面更有所加强,恰似锦上添花,堪称反映信号与系统分析当代水平的一部佳作。    本书可作为通信与电子系统类,自动化类以及全部电类专业信号与系统课程的教材,也可以供任何从事信息获取、转换、传输及处理工作的其它专业研究生,教师和广大科技工作者参考。 part2地址:http://download.csdn.net/source/1220167
2021-11-19 21:54:35 20MB Signals Systems 信号与系统 Oppenheim
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雷达系统设计MATLAB仿真英文原版,字迹超级清晰。。
2021-11-19 21:49:41 33.52MB Matlab Simulations Radar Mahafza
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Design for Six Sigma (DFSS) offers engineers powerful opportunities to develop more successful systems, software, hardware, and processes. In Applying Design for Six Sigma to Software and Hardware Systems , two leading experts offer a realistic, step-by-step process for succeeding with DFSS. Their clear, start-to-finish roadmap is designed for successfully developing complex high-technology products and systems that require both software and hardware development. Drawing on their unsurpassed experience leading Six Sigma at Motorola, the authors cover the entire project lifecycle, from business case through scheduling, customer-driven requirements gathering through execution. They provide real-world examples for applying their techniques to software alone, hardware alone, and systems composed of both. Product developers will find proven job aids and specific guidance about what teams and team members need to do at every stage. Using this book’s integrated, systems approach, marketers, software professionals, and hardware developers can converge all their efforts on what really matters: addressing the customer’s true needs. Learn how to Ensure that your entire team shares a solid understanding of customer needs Define measurable critical parameters that reflect customer requirements Thoroughly assess business case risk and opportunity in the context of product roadmaps and portfolios Prioritize development decisions and scheduling in the face of resource constraints Flow critical parameters down to quantifiable, verifiable requirements for every sub-process, subsystem, and component Use predictive engineering and advanced optimization to build products that robustly handle variations in manufacturing and usage Verify system capabilities and reliability based on pilots or early production samples Master new statistical techniques for ensuring that supply chains deliver on time, with minimal inventory Choose the right DFSS tools, using the authors’ step-by-step flowc
2021-11-19 20:23:18 5.55MB Eric Maass DFSS
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