MATLAB simulations for radar systems design

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Title:

Personal Author:

Mahafza, Bassem R.

Publication Information:

Boca Raton, FL : Chapman & Hall/CRC Press, 2004

ISBN:

9781584883920

Subject Term:

Radar -- Computer simulation

Radar -- Equipment and supplies -- Design and construction -- Data processing

Added Author:

Elsherbeni, Atef Z.

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Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010102043	TK6585 M33 2004	Open Access Book	Book	Searching... Unknown

Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also:

Ö Understand radar operations and design philosophy
Ö Know how to select the radar parameters to meet the design requirements
Ö Be able to perform detailed trade-off analysis in the context of radar sizing, modes of operation, frequency selection, waveforms, and signal processing
Ö Develop loss and error budgets associated with the design

MATLAB Simulations for Radar Systems Design teaches all of this and provides the M-files and hands-on simulation experience needed to design and analyze radar systems. Part I forms a comprehensive description of radar systems, their analysis, and the design process. The authors' unique approach involves a design case study introduced in Chapter 1 and followed throughout the text. As the treatment progresses, the complexity increases and the case study requirements are adjusted accordingly. Part II presents a series of chapters-some authored by other experts in the field-on specialized radar topics important to a full understanding of radar systems design and analysis.

A comprehensive set of MATLAB programs and functions support both parts of the book and are available for download from the CRC Press Web site.

Preface
Acknowledgment
Part I
Chapter 1 Introduction to Radar Basics	p. 1
1.1. Radar Classifications	p. 1
1.2. Range	p. 3
1.3. Range Resolution	p. 5
1.4. Doppler Frequency	p. 7
1.5. The Radar Equation	p. 13
1.6. Search (Surveillance)	p. 20
1.7. Pulse Integration	p. 27
1.8. Radar Losses	p. 35
1.9. "MyRadar" Design Case Study - Visit 1	p. 41
1.10. MATLAB Program and Function Listings	p. 48
Appendix 1A Pulsed Radar	p. 59
1A.1. Introduction	p. 59
1A.2. Range and Doppler Ambiguities	p. 60
1A.3. Resolving Range Ambiguity	p. 61
1A.4. Resolving Doppler Ambiguity	p. 64
Appendix 1B Noise Figure	p. 69
Chapter 2 Radar Detection	p. 75
2.1. Detection in the Presence of Noise	p. 75
2.2. Probability of False Alarm	p. 79
2.3. Probability of Detection	p. 81
2.4. Pulse Integration	p. 83
2.5. Detection of Fluctuating Targets	p. 90
2.6. Probability of Detection Calculation	p. 95
2.7. The Radar Equation Revisited	p. 104
2.8. Cumulative Probability of Detection	p. 106
2.9. Constant False Alarm Rate (CFAR)	p. 109
2.10. "MyRadar" Design Case Study - Visit 2	p. 113
2.11. MATLAB Program and Function Listings	p. 117
Chapter 3 Radar Waveforms	p. 141
3.1. Low Pass, Band Pass Signals and Quadrature Components	p. 141
3.2. The Analytic Signal	p. 143
3.3. CW and Pulsed Waveforms	p. 144
3.4. Linear Frequency Modulation Waveforms	p. 148
3.5. High Range Resolution	p. 153
3.6. Stepped Frequency Waveforms	p. 154
3.7. The Matched Filter	p. 165
3.8. The Replica	p. 169
3.9. Matched Filter Response to LFM Waveforms	p. 170
3.10. Waveform Resolution and Ambiguity	p. 172
3.11. "Myradar" Design Case Study - Visit 3	p. 177
3.12. MATLAB Program and Function Listings	p. 182
Chapter 4 The Radar Ambiguity Function	p. 187
4.1. Introduction	p. 187
4.2. Examples of the Ambiguity Function	p. 188
4.3. Ambiguity Diagram Contours	p. 204
4.4. Digital Coded Waveforms	p. 206
4.5. "MyRadar" Design Case Study - Visit 4	p. 223
4.6. MATLAB Program and Function Listings	p. 224
Chapter 5 Pulse Compression	p. 235
5.1. Time-Bandwidth Product	p. 235
5.2. Radar Equation with Pulse Compression	p. 236
5.3. LFM Pulse Compression	p. 237
5.4. "MyRadar" Design Case Study - Visit 5	p. 257
5.5. MATLAB Program and Function Listings	p. 262
Chapter 6 Surface and Volume Clutter	p. 267
6.1. Clutter Definition	p. 267
6.2. Surface Clutter	p. 268
6.3. Volume Clutter	p. 280
6.4. Clutter Statistical Models	p. 283
6.5. "MyRadar" Design Case Study - Visit 6	p. 284
6.6. MATLAB Program and Function Listings	p. 288
Chapter 7 Moving Target Indicator (MTI) and Clutter Mitigation	p. 293
7.1. Clutter Spectrum	p. 293
7.2. Moving Target Indicator (MTI)	p. 294
7.3. Single Delay Line Canceler	p. 296
7.4. Double Delay Line Canceler	p. 298
7.5. Delay Lines with Feedback (Recursive Filters)	p. 300
7.6. PRF Staggering	p. 302
7.7. MTI Improvement Factor	p. 303
7.8. "MyRadar" Design Case Study - Visit 7	p. 309
7.9. MATLAB Program and Function Listings	p. 313
Chapter 8 Phased Arrays	p. 319
8.1. Directivity, Power Gain, and Effective Aperture	p. 319
8.2. Near and Far Fields	p. 321
8.3. General Arrays	p. 322
8.4. Linear Arrays	p. 325
8.5. Planar Arrays	p. 341
8.6. Array Scan Loss	p. 375
8.7. "MyRadar" Design Case Study - Visit 8	p. 378
8.8. MATLAB Program and Function Listings	p. 380
Chapter 9 Target Tracking	p. 401
Single Target Tracking
9.1. Angle Tracking	p. 401
9.2. Amplitude Comparison Monopulse	p. 407
9.3. Phase Comparison Monopulse	p. 416
9.4. Range Tracking	p. 418
Multiple Target Tracking
9.5. Track-While-Scan (TWS)	p. 420
9.6. State Variable Representation of an LTI System	p. 422
9.7. The LTI System of Interest	p. 426
9.8. Fixed-Gain Tracking Filters	p. 427
9.9. The Kalman Filter	p. 445
9.10. "MyRadar" Design Case Study - Visit 9	p. 454
9.11. MATLAB Program and Function Listings	p. 462
Part II
Chapter 10 Electronic Countermeasures (ECM)	p. 471
10.1. Introduction	p. 471
10.2. Jammers	p. 472
10.3. Range Reduction Factor	p. 482
10.4. Chaff	p. 485
10.5. MATLAB Program and Function Listings	p. 493
Chapter 11 Radar Cross Section (RCS)	p. 501
11.1. RCS Definition	p. 501
11.2. RCS Prediction Methods	p. 503
11.3. Dependency on Aspect Angle and Frequency	p. 504
11.4. RCS Dependency on Polarization	p. 508
11.5. RCS of Simple Objects	p. 517
11.6. Scattering From a Dielectric-Capped Wedge	p. 536
11.7. RCS of Complex Objects	p. 557
11.8. RCS Fluctuations and Statistical Models	p. 558
11.9. MATLAB Program and Function Listings	p. 560
Chapter 12 High Resolution Tactical Synthetic Aperture Radar (TSAR)	p. 589
12.1. Introduction	p. 589
12.2. Side Looking SAR Geometry	p. 590
12.3. SAR Design Considerations	p. 592
12.4. SAR Radar Equation	p. 599
12.5. SAR Signal Processing	p. 600
12.6. Side Looking SAR Doppler Processing	p. 601
12.7. SAR Imaging Using Doppler Processing	p. 606
12.8. Range Walk	p. 606
12.9. A Three-Dimensional SAR Imaging Technique	p. 608
12.10. MATLAB Programs and Functions	p. 623
Chapter 13 Signal Processing	p. 625
13.1. Signal and System Classifications	p. 625
13.2. The Fourier Transform	p. 627
13.3. The Fourier Series	p. 629
13.4. Convolution and Correlation Integrals	p. 631
13.5. Energy and Power Spectrum Densities	p. 632
13.6. Random Variables	p. 635
13.7. Multivariate Gaussian Distribution	p. 638
13.8. Random Processes	p. 641
13.9. Sampling Theorem	p. 642
13.10. The Z-Transform	p. 644
13.11. The Discrete Fourier Transform	p. 648
13.12. Discrete Power Spectrum	p. 648
13.13. Windowing Techniques	p. 650
13.14. MATLAB Programs	p. 654

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