This paper studies the problem of tracking a ballistic object in the reentry phase by processing Radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2014-10-31
上傳用戶：yyyyyyyyyy
This paper studies the problem of tracking a ballistic object in the reentry phase by processing Radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2014-01-14
上傳用戶：奇奇奔奔
This paper studies the problem of tracking a ballistic object in the reentry phase by processing Radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標簽： processing ballistic the tracking
上傳時間： 2013-12-22
上傳用戶：asddsd
C Algorithms for Real-Time DSP Chapter 5 presents several real-time DSP applications, including speech compression music signal processing Radar signal processing and adaptive signal processing techniques.
標簽： applications Algorithms Real-Time DSP
上傳時間： 2013-12-27
上傳用戶：王者A
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather Radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
標簽： spectrum direction-independent i.e. the
上傳時間： 2013-12-17
上傳用戶：watch100
This chapter enables the reader to: • Know the content and organization of this book, and how to use it to analyze and model Radar system performance • Understand the concept of Radar operation, the functions performed by Radar, and how Radar may be used in various applications • Understand the characteristics of functional Radar models and how they are used to analyze overall Radar performance.
標簽： organization and the chapter
上傳時間： 2017-07-31
上傳用戶：1109003457
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from Radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
標簽： filter efficient estimates recursive
上傳時間： 2017-08-06
上傳用戶：風之驕子
Simple 3D Localization of Tag-Free Moving Targets by UWB Radar UWB定位
標簽： Localization Tag-Free Targets Simple Moving Radar UWB 3D of by
上傳時間： 2017-02-19
上傳用戶：lujingyu
IET出版的最優(yōu)雷達信號處理相關(guān)電子書，適合有一定基礎(chǔ)的同行。
標簽： Processors Optimised Radar
上傳時間： 2018-05-08
上傳用戶：icae0327
Two important microwave remote sensors are the Radar and the radiometer. There have been a number of books written on various aspects of Radar, but there have been only a few written on microwave radiometers, especially on sub- jects of how to design and build radiometer systems. This book, which is the second edition of a book originally published in 1989, attempts to fill this void.
標簽： Radiometer Microwave Systems
上傳時間： 2020-05-23
上傳用戶：shancjb
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