4.3多基线测向算法 利用多条基线可以消除模糊性,包括消除镜像模糊性和由相位测量引起的模 糊性。下面给出的算法不区分测向模糊性是哪一种,同时进行去模糊处理。 考虑两条不平行的基线,假定他们的长度分别为DJ和Dj,并设这两条基线 法线与十x轴的夹角分布为rp,和竹。当来波方位角为rPo时,利用两条基线分别测 出了相位差"。和y扣,反演出两基线测到的入射角主值∥。和卢,0表示为: fl,o=sin-l盟2xD,(4-12a、 tim=sin-1荔,’.万I//j.o r4-12b) 根据相位差,由(4—8)式可确定一组方位角值识,和纪。,而实际的方位角‰一 定包含在其中,有 万 . 纪m 2能+-ff—Sill (sinfl,舯,争 (4—13a) %2砟+争sin弋sin办棚告) ⋯3b) 方程(4-13)给出的仅仅是基线一侧的模糊角,在基线的另一侧还有沿着该条 基线对称分布的镜像模糊角。根据(4—9)式,基线单侧模糊角数分别为m,和m,,
2021-11-23 19:36:31 1.55MB 测向
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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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Nonlinear Transistor Model Parameter Extraction Techniques 剑桥 Achieve accurate and reliable parameter extraction using this complete survey of stateof- the-art techniques and methods. A team of experts from industry and academia provides you with insights into a range of key topics, including parasitics, instrinsic extraction, statistics, extraction uncertainty, nonlinear and DC parameters, self-heating and traps, noise, and package effects. Learn how similar approaches to parameter extraction can be applied to different technologies. A variety of real-world industrial examples and measurement results show you how the theories and methods presented can be used in practice. Whether you use transistor models for evaluation of device processing, need to understand the methods behind the models you use in circuit design, or you want to develop models for existing and new device types, this is your complete guide to parameter extraction.
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Nonlinear_Control_Systems_3E_(Alberto_Isidori),国外非线性经典教材
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Iterative Solution of Nonlinear Equations in Several Variables.djvu
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Robust Nonlinear Regression: with Applications using R By 作者: Hossein Riazoshams – Habshah Midi – Gebrenegus Ghilagaber ISBN-10 书号: 1118738063 ISBN-13 书号: 9781118738061 Edition 版本: 1 出版日期: 2018-07-23 pages 页数: 264
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非线性优化:Levenberg-Marquardt方法 列文伯格马夸尔特算法 Matlab版本,附带运行例子
2021-11-16 17:13:44 32KB matlab 非线性优化 L-M算法
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This book provides a comprehensive introduction to the theory of nonlinear finite elementanalysis and its various implementation strategies. It is intended for beginning graduate students studying the areas of mechanical engineering, civil engineering, applied mathematics, engineering mechanics and materials science.
2021-11-14 23:04:22 8.78MB Finite Eleme 有限元
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Steven H. Strogatz - Nonlinear Dynamics and Chaos with Applications to Physics, Biology, Chemistry and Engineering-CRC
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Applied Nonlinear Control Applied Nonlinear Control
2021-11-07 14:40:46 9.26MB Applied Nonlinear Control
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