New Semester
Started
Get
50% OFF
Study Help!
--h --m --s
Claim Now
Question Answers
Textbooks
Find textbooks, questions and answers
Oops, something went wrong!
Change your search query and then try again
S
Books
FREE
Study Help
Expert Questions
Accounting
General Management
Mathematics
Finance
Organizational Behaviour
Law
Physics
Operating System
Management Leadership
Sociology
Programming
Marketing
Database
Computer Network
Economics
Textbooks Solutions
Accounting
Managerial Accounting
Management Leadership
Cost Accounting
Statistics
Business Law
Corporate Finance
Finance
Economics
Auditing
Tutors
Online Tutors
Find a Tutor
Hire a Tutor
Become a Tutor
AI Tutor
AI Study Planner
NEW
Sell Books
Search
Search
Sign In
Register
study help
business
systems analysis and design
Systems Analysis And Design 3rd Edition Alan Dennis, Barbara Haley Wixom, David Tegarden - Solutions
How is behavioral modeling related to functional and structural modeling?
How are the different structural models related to the different functional models, and how does this affect verification and validation of the models?
Verify Eq. (17.160).
Derive Eq. (17.122).
Derive Eqs. (17.118) through (17.120).
Design a critically dampeda, when the measurement noise variance associated with position is = 50m and when the desired standard deviation of the filter prediction error is 5.5m.
Using the result of the previous problem and Eq. (17.83), compute the steady-state errors for the a tracker with the inputs defined in Problem 17.13.
tracker. Develop an expression for the steady-state error transfer function for an a
Verify the results in Eqs. (17.99) and (17.100).
Derive Eq. (17.75).
Derive Eq. (17.55).
Prove the state transition matrix properties (i.e., Eqs. (17.30) through (17.36)).
A certain system is defined by the following difference equation: y(n)+4y(n-1)+2y(n-2) = w(n) Find the solution to this system for n > 0 and w = 5.
Consider the sum and difference signals defined in Eqs. (17.7) and (17.8). What is the squint angle oo that maximizes (p = 0) ?
Derive Eq. (17.33) and Eq. (17.34).
Reproduce Fig. 17.13 for the squint angles defined in the previous problem.
Reproduce Fig. 17.11 for 0 = 0.05, 0.1 and 0 = 0.15 radians.
Consider a conical scan antenna whose rotation around the tracking axis is completed in 4 seconds. If during this time 20 pulses are emitted and received, calculate the radar PRF and the unambiguous range.
16.9. Repeat the previous problem, where in this case, you will allow the number of elements in the array, N, to become a user-controlled variable. Run two cases one with low value for N (less than 10) and one with a large value (more than 20), briefly discuss your results.
16.7. Develop a MATLAB code to implement the SLC canceler.
16.6. Figures 16.8a and 16.8b clearly demonstrate how the estimate of the covariance matrix impacts the quality of the adaptive null. In Section 16.3 (see Eq. (16.71)), a technique was described for estimating and improving the quality of the covariance matrix. Modify the MATLAB code
16.5. Building on the previous problem, in Chapter 15, the effect of having a limited number of bits to steer the main beam was demonstrated. Modify the code of the previous problem to include the effects of having a limited number of bits for phase shifting.
16.4. In Section 16.3, the MATLAB function “adaptive_array_lms.m” was developed to illustrate how linear arrays can adaptively place a null anywhere within the array’s field of view. This code, however, assumed a single target (desired beam) and a single jammer (null).Extend this code (or
16.3. Repeat the example in Section 16.1 for angle ???? pi by???? 4 instead of .pi by 6
16.2. Compute the transient solution of the DE defined in Eq. (16.69).
16.1. Starting with Eq. (16.62), derive Eq. (16.63).
Modify the FFT routine developed in the previous problem to compute and plot the power gain pattern.
Derive Eq. (15.73).
In Section 15.4.2 we showed how a DFT can be used to compute the radiation pattern of a linear phased array. Consider a linear phased array of 64 elements at half wavelength spac- ing, where an FFT of size 512 is used to compute the pattern. What are the FFT bins that corre- spond to steering
Consider an antenna whose diameter is d = 3m. What is the far field requirement for an X-band or an L-band radar that is using this antenna?
14.1. Design a cylindrical RCS calibration target such that its broadside RCS (cylinder) and end (flat plate) RCS are equal to 10m at f = 9.5GHz. The RCS for a flat plate of area A is fp = 4nf A/c.
Starting with Eq. (13.81), show that as N is increased so is the over all probability of false alarm. More specifically, prove that PFA ~ NP fa
The sum inside Eq. (13.79) presents a very formidable challenge. It can be, how- ever, computed recursively with relative ease. Develop a recursive algorithm to calculate this sum.
Derive Eq. (13.79).
A certain circularly scanning radar with a fan beam has a rotation rate of 3 seconds per revolution. The azimuth beamwidth is 3 degrees, and the radar uses a PRI of 600 microsec- onds. The radar pulse width is 2 microseconds and the radar searches a range window that extends from 15Km to 100Km. It
A certain radar has the following parameters: Peak power P, = 500KW, total losses L = 12dB, operating frequency f = 5.6GHZ, PRF f = 2KHz, pulse width t = 0.5s, antenna beamwidth = 2 and 17, noise figure F = 6dB, and scan time Tsc =2s. The radar can experience one false alarm per scan. (a) What is
A radar with a phased array antenna conducts a search using a 1500-beam search raster. That is, it steps through 1500 beam positions that span a certain angular area. It trans- mits one pulse per beam. The radar uses range gates separated by 10m. The output of each range gate is sent to a bank of
A circularly scanning, fan beam radar has a rotation rate of 2 seconds per revolu- tion. The azimuth beamwidth is 1.5 degrees and the radar uses a PRF of 12.5KHz. The radar uses an unmodulated pulse with a width of 1.2s and searches a range window that extends from 15Km to 100Km. The range cells
A certain radar has the following specifications: single pulse SNR corresponding to a reference range Ro = 200Km is 10dB. The probability of detection at this range is PD = 0.95. Assume a Swerling I type target. Use the radar equation to compute the required pulse widths at ranges R = 220Km, 250Km,
Consider a scanning low PRF radar. The antenna half-power beam width is 1.5, and the antenna scan rate is 35 per second. The pulse width is t = 2s, and the PRF is f = 400Hz. (a) Compute the radar operating bandwidth. (b) Calculate the number of returned pulses from each target illumination. (c)
(a) Show how you can use the radar equation to determine the PRF f,, the pulse width 1, the peak power P,, the probability of false alarm Pfa, and the minimum detectable signal level Smin Assume the following specifications: operating frequency fo = 1.5MHz, operating bandwidth B = 1MHz, noise
A certain radar utilizes 10 pulses for noncoherent integration. The single pulse SNR is 15dB and the probability of miss is P = 0.15. (a) Compute the probability of false alarm Pfa (b) Find the threshold voltage VT-
= An L-band radar has the following specifications: operating frequency fo = 1.5GHz, operating bandwidth B = 2MHz, noise figure F 8dB, system losses L = 4dB, time of false alarm Tfa = 12 minutes, detection range R = 12Km, probability of detection Pp = 0.5, antenna gain G = 5000, and target RCS =
A pulsed radar has the following specifications: time of false alarm Tfa = 10 min, probability of detection PD = 0.95, operating bandwidth B = 1MHz. (a) What is the proba- bility of false alarm Pfa? (b) What is the single pulse SNR? (c) Assuming noncoherent integra- tion of 100 pulses, what is the
An X-band radar has the following specifications: received peak power 10-10 W, probability of detection P = 0.95, time of false alarm Tya = 8min, pulse width = 2s, operating bandwidth B = 2MHz, operating frequency fo=10GHz, and detection range R = 100Km. Assume single pulse processing. (a) Compute
A pulsed radar has the following specifications: time of false alarm Tfa = 10min, probability of detection P = 0.95, operating bandwidth B = 1MHz. (a) What is the proba- bility of false alarm Pa? (b) What is the single pulse SNR?
In the case of noise alone, the quadrature components of a radar return are indepen- dent Gaussian random variables with zero mean and variance . Assume that the radar pro- cessing consists of envelope detection followed by threshold decision. (a) Write an expression for the pdf of the envelope;
Consider the matched filter receiver shown in Fig. 12.1. Develop expressions for the single pulse of known parameters probability of detection Pp and probability of false alarm Pfa
Derive Eq. (12.19).
Prove the results given in Eqs. (12.9) through (12.12).
Let 5x() be the PSD function for the stationary random process X(t). Compute an expression for the PSD function of Y(t) = X(t)2X(t-T).
(a) A random voltage v(t) has an exponential distribution function fy(v) = aexp(-av), where (a>0);(0 v 0.5}.
Assume the X and Y miss distances of darts thrown at a bulls-eye dart board are Gaussian with zero mean and variance o. (a) Determine the probability that a dart will fall between 0.80 and 1.20. (b) Determine the radius of a circle about the bull's-eye that contains 80% of the darts thrown. (c)
Suppose you want to determine an unknown DC voltage vdc in the presence of addi- tive white Gaussian noise n(t) of zero mean and variance 0% 12. The measured signal is x(t) = vde+n(t). An estimate of vde is computed by making three independent measure- ments of x(t) and computing the arithmetic
Be familiar with postinstallation processes.
Understand several techniques for managing change.
Understand different types of conversion strategies and when to use them.
Be familiar with the system installation process.
Understand how to develop documentation.
Understand different types of tests and when to use them.
Be familiar with the system construction process.
Be familiar with how to create a hardware and software specification.
Understand how operational, performance, security, cultural, and political requirements affect the design of the physical architecture layer.
Be able to create a network model using a deployment diagram.
Be familiar with distributed objects computing.
Understand server-based, client-based, and client–server physical architectures.
Understand the different physical architecture components.
Understand the affect of nonfunctional requirements on the human-computer interaction layer.
Be able to design a user interface.
Understand commonly used principles and techniques for output design.
Understand commonly used principles and techniques for input design.
Understand commonly used principles and techniques for navigation design.
Understand how to design the user interface standards.
Understand how to design the user interface structure.
Understand the process of user interface design.
Understand several fundamental user interface design principles.
Be able to design the data access and manipulation classes.
Understand the affect of nonfunctional requirements on the data management layer.
Be able to estimate the size of a relational database.
Become familiar with indexes for relational databases.
Be able to optimize a relational database for object storage and access.
Be able to apply the steps of normalization to a relational database.
Be able to map problem domain objects to different object-persistence formats.
Become familiar with several object-persistence formats.
Be able to create a method specification.
Be able to specify constraints and contracts.
Be able to identify the reuse of predefined classes, libraries, frameworks, and components.
Be able to specify, restructure, and optimize object designs.
Become familiar with coupling, cohesion, and connascence.
Be able to create an alternative matrix.
Be familiar with the custom, packaged, and outsource design alternatives.
Be able to create package diagrams.
Understand the use of factoring, partitions, and layers.
Understand the transition from analysis to design.
Understand the verification and validation of the analysis models.
Understand the relationship between the behavioral models and the structural and functional models.
Be able to create sequence and communication diagrams and behavioral state machines.
Understand the processes used to create sequence and communication diagrams and behavioral state machines.
Understand the rules and style guidelines for sequence and communication diagrams and behavioral state machines.
Understand the relationship between the structural and use case models.
Showing 2100 - 2200
of 7343
First
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
Last
Step by Step Answers
Get 50% OFF
Claim Now
