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1 edition of Generation of the ambiguity function for ultra wideband radar waveforms found in the catalog.

Generation of the ambiguity function for ultra wideband radar waveforms

Efrain Leon

Generation of the ambiguity function for ultra wideband radar waveforms

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Published by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English


Edition Notes

Statement Efrain Leon
The Physical Object
Pagination73 p. ;
Number of Pages73
ID Numbers
Open LibraryOL25521285M

Signal Generation for FMCW Ultra-Wideband Radar By Aqsa Patel Signal Generation for FMCW Ultra Wide-band Radar Thesis Committee Chair: Dr. Carlton Leuschen beat signal was a focused Sinc wave as opposed to a smeared signal in case of nonlinear chirp. Also the phase of the beat signal data was linear with respect to time. Radar is a detection system that uses radio waves to determine the range, angle, or velocity of objects. It can be used to detect aircraft, ships, spacecraft, guided missiles, motor vehicles, weather formations, and terrain.A radar system consists of a transmitter producing electromagnetic waves in the radio or microwaves domain, a transmitting antenna, a receiving antenna (often the same.


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Generation of the ambiguity function for ultra wideband radar waveforms by Efrain Leon Download PDF EPUB FB2

An understanding of this function gives the radar engineer an insight into different radar waveforms and permits him to select the best design for a particular system application. This thesis investigates the Ambiguity Function for ultra wideband radar waveforms generated by the Fourier Synthesis Method, which provides the capability to produce very narrow pulses in a coherent and Pages: Thesis advisor(s): Gurnam S.

Gill ; Adbel Aziz Mohamed Darwish. Since, for ultra wideband radar waveforms, the transmitted signal is a baseband signal without sinusoidal carrier, the Ambiguity Function for this kind of waveform should be generated by Doppler processing in the time domain rather than in the frequency domain, as is done for conventional radar waveforms.

An understanding of this function gives the radar engineer an insight into different radar waveforms and permits him to select the best design for a particular system application.

This thesis investigates the Ambiguity Function for ultra wideband radar waveforms generated by the Fourier Synthesis Method, which provides the capability to produce very narrow pulses in a coherent and controllable : Efrain.

Leon. The radar engineers came up with radar waveforms that was longer in time and thereby had high energy and at the same time gave high range resolution. This is done by spreading the frequency bandwidth as a function of time in the pulse.

This can be done either by changing the frequency or by changing the by: 9. The proposed generalization of the ambiguity function is based on the copula notion and does not depend on a probability density function. The generalized copula ambiguity function is useful for.

a radar waveform is how the radar system behave if the radar target is moving relative to the radar. This can be studied by calculating the ambiguity function for the radar system.

In a narrow band radar the velocity of the radar targ et gives a shift Generation of the ambiguity function for ultra wideband radar waveforms book frequency of the received waveform compared to the transmitted one. Fourier synthesis method of waveform generation for ultra wideband (UWB) radar overcomes several disadvantages of traditional impulse generation.

In this method a signal is generated in frequency domain by summing the relatively low power harmonics of the desired signal instead of generating it by a single high power source in time by: 1. Ambiguity Function: Chirp Waveform * Linear frequency-modulated (LFM) pulse (Chirp).

Ambiguity Function: Chirp Waveform * Advantage of chirp: improved range resolution. Zero-Doppler cut: For a large time-bandwidth product (), the first null occurs at: Chirp Waveform * Advantage of chirp: improved range resolution.

The ambiguity function of a waveform can be evaluated from the general expression given in Equation 11 (Levanon, N. and Mozeson, E., ). It is used to measure the ability of a radar waveform to measure delay and Doppler shift. It represents the output of a matched filter for the by: 1.

The focus is on the principles of UWB signal generation, impulse radiation, waveform design, pulse compression, range-velocity resolution (ambiguity function), array beamforming, and.

Abstract: Over the past decade, extensive research work has been carried out to develop the ultra-wideband (UWB) technology for radar applications, and to resolve the practical challenges in implementing an efficient UWB radar system. In this paper, we present an overview of the basic principles of UWB impulse radar.

The focus is on the principles of UWB signal generation, impulse. Radar Waveforms and Signal Processing. The waveform determines the delay-Doppler response of a radar system, hence the radar's range and velocity resolution and ambiguities.

This chapter shows how narrow-band signals are described and presents the major signal processing and analysis tools – the matched filter (MF) and the ambiguity function (AF).Author: Nadav Levanon. Radar systems typically utilize wideband waveforms that possess a narrow auto correlation main lobe, called the ambiguity function, in order to achieve fine range resolution.

SIAM Journal on Mathematical Analysis > Vol Issue 3 > / () Generalized Ambiguity Functions for Ultra Wide Band Random Waveforms. International Radar Symposium, New Methods of Time-Frequency Analysis.

Transforms and Fast Algorithms for Signal Analysis and Representations, Cited by: The cross-ambiguity functions of the direct radar system have also been investigated to evaluate the electronic measure capability.

In contrast, the ultra wide band (UWB) [7] radars have the merits of high range resolution, enhanced clutter- radar employing the chaotic Colpitts oscillator for waveform generation. The auto-ambiguity. Performance evaluation of ultra wideband (UWB) radar in terms of target detection, resolution, recognition, and clutter and interference rejection depends on the structure of the radar waveform.

The chirp waveform, which is commonly used in radar applications, has high time sidelobes in the level of − 20 by: 3. ambiguity function for coded waveforms represented by a sequence of (positive and negative) ideal Gaussian pulses.

In this paper, the concepts of waveform design and ambiguity function are presented based on a physically design of UWB impulse radar is the generation and transmission of energy-efficient electromagnetic signals that can yield. This introductory reference covers the technology and concepts of ultra-wideband (UWB) radar systems.

It provides up-to-date information for those who design, evaluate, analyze, or use UWB technology for any application. Since UWB technology is a developing field, the authors have stressed theory and hardware and have presented basic principles and concepts to help guide the design of UWB systems.

The performance of ultrawideband (UWB) radar in target detection, resolution, and recognition depends on the structure of the radar waveform. In this paper, the principles of waveform diversity and design (WDD) for generating periodic and orthogonal UWB-impulse signals are described. A mathematical model for a UWB-throb signal that yields the practical advantages of the widely used linear.

of designing waveforms from the radar ambiguity function for narrowband signals. Naparst [9] recently investigated the problem of wideband waveform design and processing to resolve targets in dense target environments. None of these investigations, nor any others that could be found, addressedFile Size: 2MB.

Wave Separation by Directional Couplers Wave Separation by Voltage Superposition Capturing of E- and H-Field Summary References 4 Ultra-Wideband Radar Introduction Distributed System – the Measurement Problem Plane Wave and Isotropic Waves/Normalized Wave   A compact test solution to generate and analyze ultra-wideband signals has been demonstrated by Rohde & Schwarz at the LTE Innovation Summit in Del Mar, California.

The setup is based on the. In conventional radar systems Woodward’s ambiguity function is used to characterize waveform resolution performance.

In this paper comparison of results is done by plotting the waveform for multiple-input-multiple-output radar ambiguityFile Size: 1MB. The plots of autocorrelation functions of the GGP signals can achieve the target resolution and clutter suppression capabilities.

This paper presents the autocorrelation properties of multiple ultra wideband waveforms, because single pulse cannot achieve the desired : ASU and RAJESWARI. The generalized ambiguity function of a random ultra wide waveform can be defined from the cross-correlation between the waveform and a time-scaled and delayed version of it, where the time scaling is related to the relative velocity of the target and the delay to the range.

As a result of the randomness, the ambiguity function fluctuates between different realizations. Wideband Radar Signal Generation and Analysis Marco Vivarelli Challenges of Wideband Signal Generation Challenges of Wideband Signal Analysis Wideband LFM Chirp Radar Example Wideband16QAM Example Summary.

Currently Available High-Speed AWGs Bandwidth Function Scope Waveform MATLAB Applied Trace Perform Additional. This chapter proposes and tests an approach for an unbiased study of radar waveforms’ performances. Through an empirical performance analysis, the performances of Chirp and Multitones are compared with both simulations and measurements.

An ultra wideband software defined radar prototype was designed and the prototype has performances comparable to the state of the art in software defined by: 2. Although this function depends upon the sonar.

signal-filter pair, there are transformations of signal and filter that will not affect certain properties of the ambiguity function. Such transformations suggest the existence of alter- native waveforms that will satisfy a particular range- Doppler resolution requirement.

[25]. Recently, San Antonio, et al. [6] have extended the radar ambiguity function to the MIMO radar case. It turns out that the radar waveforms affect not only the range and Doppler resolution but also the angular resolution. It is well-known that the radar ambiguity function satisfies some properties such.

In pulsed radar and sonar signal processing, an ambiguity function is a two-dimensional function of time delay and Doppler frequency (,) showing the distortion of a returned pulse due to the receiver matched filter (commonly, but not exclusively, used in pulse compression radar) due to the Doppler shift of the return from a moving target.

The ambiguity function is determined by the properties. Title: Ambiguity function of the transmit beamspace-based MIMO radar Date: Language: English Number of pages: 8+60 Department of Signal Processing and Acoustics Professorship: Signal processing technology Code: S Supervisor and advisor: Prof.

Sergiy A. Vorobyov We formulate and investigate an ambiguity function (AF) for the transmitCited by: Ambiguity Functions Comparison.

The ambiguity function for the complementary codes has been derived following the simplified method based on combining multiple range cuts [17, 19–21].According to this method, the formal expression for the ambiguity function of a complementary code waveform is given by The above expression turns into if Parseval’s theorem is applied:Cited by: 1.

Testing of radar systems can be extremely time-consuming and expensive. Radar transceivers must be designed and tested with realistic environment and. Fig. 3 depicts the cross ambiguity function of the various orthogonally coded FMCW waveforms for the example of N T x = 2 transmit antennas.

The parameters for Golay codes used for generating the cross AF are m = 2 and q = 2, whereas that for the Zadoff-Chu sequence are N z c =with u chosen to be 5 and 12 respectively for two waveforms.

For DSS, the parameters are generated by cascading Author: Avik Santra, Alexander Rudolf Ganis, Jan Mietzner, Volker Ziegler. The Concept of Green’s Functions and the Near-Field Radar Equation References 6 Examples and Applications Ultra-Wideband Sensing – The Road to New Radar and Sensor Applications Potential of Ultra-Wideband Sensing – A Short Summary Overview on Sensor Principles Author: Jürgen Sachs.

Optimal waveform selection is of importance for such applications as synthetic aperture radar (SAR), inverse synthetic aperture radar (ISAR), automatic target recognition (ATR) and radar astronomy.

In all these applications, the radar employs wideband, high-frequency waveforms to illuminate the by: 6. expanding the time base of the more compressed waveform), prior to cross-correlating them. Since the relative time scale between the received signals is not known a priori, it must be estimated, along with the time delay.

This paper considers the use of the passive wideband cross-ambiguity function for the joint. Descubriendo la espacialidad social desde América Latina: reflexiones desde la geografía sobre el campo, la ciudad y el medio ambiente (Book) 4 editions published in in Spanish and held by 21 WorldCat member libraries worldwide.

T he term ultra wideband or UWB signal has come to signify a number of synonymous terms such as impulse, carrier-free, baseband, time domain, nonsinusoidal, orthogonal function and large-relative-bandwidth radio/radar signals.

Here, the term UWB includes all of these. (The term ultra wideband, which is somewhat of a misnomer, was not applied to these systems until about. the ambiguity function A(˝;! o) centered at ˝ o. For multiple point targets we have a superposition of ambiguity functions.

A weak target located near a strong target can be masked by the sidelobes of the ambiguity function centered around the strong target. Picture: Skolnik, ch.

11 Radar Signal Processing.Woodward’s ambiguity function [3]. In general, the radar signal ambiguity function is defined as the normalized response of a filter matched to a return signal with range rate. V, to. a. return signal with range rate VI. It describes the resolution properties. of. a given signal in range and range by: of an orthogonal frequency division multiplexing (OFDM) waveform to improve the radar’s wideband ambiguity function (WAF).

The adaptive OFDM signal yields a better auto-correlation function (ACF) that results into an improved delay (range) resolution for the radar system.

First, we develop a mutlicarrier OFDM signal model and the corresponding.