Reflector Design for Orthogonal Frequency (OFC) Coded Devices D.C. Malocha, D. Puccio, and N. Lobo School of Electrical Engineering & Computer Science.

Slides:



Advertisements
Similar presentations
Doc.: IEEE xxx a Submission May 2005 Zafer Sahinoglu, Mitsubishi Electric Research Labs Slide 1 Project: IEEE P Working Group for Wireless.
Advertisements

Note 2 Transmission Lines (Time Domain)
Copyright 2001, Agrawal & BushnellVLSI Test: Lecture 181 Lecture 18 DSP-Based Analog Circuit Testing  Definitions  Unit Test Period (UTP)  Correlation.
Tsing Hua University, Taiwan Solar Acoustic Holograms January 2008, Tucson Dean-Yi Chou.
1 SCHOOL OF COMPUTER & COMMUNICATIONS ENGINEERING EKT 341/4 ANTENNAS AND PROPAGATION Lecturer: En. Rosmizi bin Abd Rahim Dr. Mohd Faizal Bin Jamlos PLV:
Digital transmission over a fading channel Narrowband system (introduction) Wideband TDMA (introduction) Wideband DS-CDMA (introduction) Rake receiver.
Filtering Filtering is one of the most widely used complex signal processing operations The system implementing this operation is called a filter A filter.
Design and Analysis of RF and Microwave Systems IMPEDANCE TRANSFORMERS AND TAPERS Lecturers: Lluís Pradell Francesc.
11.1 Introduction to Response Surface Methodology
Error Propagation. Uncertainty Uncertainty reflects the knowledge that a measured value is related to the mean. Probable error is the range from the mean.
RAKE Receiver Marcel Bautista February 12, Propagation of Tx Signal.
Department of Electronic Engineering City University of Hong Kong EE3900 Computer Networks Data Transmission Slide 1 Continuous & Discrete Signals.
II. Medium Access & Cellular Standards. TDMA/FDMA/CDMA.
Digital to Analog Converters
915 MHz SAW Multi-Sensor System Don Malocha Department of Electrical Engineering & Computer Science University of Central Florida
EE513 Audio Signals and Systems Noise Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Lossy Compression Based on spatial redundancy Measure of spatial redundancy: 2D covariance Cov X (i,j)=  2 e -  (i*i+j*j) Vertical correlation   
Noise and SNR. Noise unwanted signals inserted between transmitter and receiver is the major limiting factor in communications system performance 2.
Formatting and Baseband Modulation
1-1 Basics of Data Transmission Our Objective is to understand …  Signals, bandwidth, data rate concepts  Transmission impairments  Channel capacity.
1 ENE 429 Antenna and Transmission lines Theory Lecture 4 Transmission lines.
1 Numerical and Analytical models for various effects in models for various effects inEDFAs Inna Nusinsky-Shmuilov Supervisor:Prof. Amos Hardy TEL AVIV.
Dept. of EE, NDHU 1 Chapter Three Baseband Demodulation/Detection.
Resident Categorical Course
University of Central Florida School of Electrical Engineering and Computer Science 1 Passive, Wireless Surface Acoustic Wave Technology for Identification.
Coding No. 1  Seattle Pacific University Modulation Kevin Bolding Electrical Engineering Seattle Pacific University.
1 of 22 Glaciers and Ice Sheets Interferometric Radar (GISIR) Center for Remote Sensing of Ice Sheets, University of Kansas, Lawrence, KS
Transmission Line “Definition” General transmission line: a closed system in which power is transmitted from a source to a destination Our class: only.
Digital transmission over a fading channel Narrowband system (introduction) Wideband TDMA (introduction) Wideband DS-CDMA (introduction) Rake receiver.
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 5 Dec. 4 th, 2009.
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009.
By Ya Bao1 Antennas and Propagation. 2 By Ya Bao Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic.
Chapter 4: Baseband Pulse Transmission Digital Communication Systems 2012 R.Sokullu1/46 CHAPTER 4 BASEBAND PULSE TRANSMISSION.
1.  Transmission lines or T-lines are used to guide propagation of EM waves at high frequencies.  Examples: › Transmitter and antenna › Connections.
ECE 4710: Lecture #12 1 Normalized A =  2 Unipolar NRZ Advantages: 1) Easy to generate for TTL (0, +5V) 2) Single supply voltage 3) Best FNBW Disadvantages:
ECE 4710: Lecture #13 1 Bit Synchronization  Synchronization signals are clock-like signals necessary in Rx (or repeater) for detection (or regeneration)
Statistical Description of Multipath Fading
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Chapter 4_ part 1b Baseband Data Transmission EKT 357 Digital Communications.
1 Channel Equalization for STBC- Encoded Cooperative Transmissions with Asynchronous Transmitters Xiaohua (Edward) Li, Fan Ng, Juite Hwu, Mo Chen Department.
Doc.: IEEE Submission John Lampe, Nanotron Technologies, GmbHSlide 1 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs)
Lecture 24-27: Ultra Wideband Communications Aliazam Abbasfar.
Performance of Digital Communications System
Diana B. Llacza Sosaya Digital Communications Chosun University
Microwave Engineering Chapter 5.7 ~ 5.9
Midterm Review 28-29/05/2015 Progress on wire-based accelerating structure alignment Natalia Galindo Munoz RF-structure development meeting 13/04/2016.
Hanyang University 1/21 Antennas & RF Devices Lab. antenna arrays and automotive applications Kim Tae Won.
Small-Scale Fading Prof. Michael Tsai 2016/04/15.
INTERSYMBOL INTERFERENCE (ISI)
Lecture 2 Transmission Line Characteristics
SE40 Meeting on Pseudolites JRC test results
Digital transmission over a fading channel
OPTICAL FIBRE BASED ON MODES (OR) MODE TYPES
Techniques to control noise and fading
Radio Coverage Prediction in Picocell Indoor Networks
Advanced Wireless Networks
Digital Control Systems (DCS)
Subject Name: Optical Fiber Communication Subject Code: 10EC72
Lecture 1.8. INTERSYMBOL INTERFERENCE
doc.: IEEE <doc#>
INTERSYMBOL INTERFERENCE (ISI)
ENE 428 Microwave Engineering
Chapter 4 Transmission Impairments and Multiplexing
On the Design of RAKE Receivers with Non-uniform Tap Spacing
INTERSYMBOL INTERFERENCE (ISI)
ENE 428 Microwave Engineering
Improved Spread Spectrum: A New Modulation Technique for Robust Watermarking IEEE Trans. On Signal Processing, April 2003 Multimedia Security.
ENE 428 Microwave Engineering
Physical Layer Model of the Impact of Bluetooth on IEEE b
N-port Network Port reference Line Impedance Port Voltage & Current.
Presentation transcript:

Reflector Design for Orthogonal Frequency (OFC) Coded Devices D.C. Malocha, D. Puccio, and N. Lobo School of Electrical Engineering & Computer Science University of Central Florida Orlando, Fl Acknowledgements: Funding is provided through the NASA STTR grants with industry partners of MSA and ASRD, and through the NASA Graduate Student Research Program.

Schematic of OFC SAW ID Tag Background: OFC Bit – 7chips/bit Chip length Bit Length

Approach Study a methodology to optimize reflective structures for OFC devices –Minimize device insertion loss –Find optimum values for bit length, chip length, and strip reflectivity as a function of device fractional bandwidth –Maintain processing gain –Minimize ISI effects

Boundary Conditions for Analysis Assume only a single in-line grating analysis. Assumes no weighting within each reflective region which composes a chip. First order assumptions are made to understand the phenomenon and then verified by COM models and simulation. Multiple parallel tracks can be approached in a similar manner.

SAW OFC Reflector Coding Ideal OFC code using a SAW reflective structure assumes that the ideal chip can be accurately reproduced by a reflector –Chip frequency response: Sin(x)/x –Chip time response: – Uniform amplitude of chips for maximum coding, processing gain (PG) and correlation output

Intra-chip & Inter-chip Reflector Considerations Chip reflector uniformity Processing gain Coding diversity Orthogonality of chips Frequency & time domain distortion Intersymbol interference (ISI)

OFC Reflector Bank Uniformity f c =chip frequency determined by orthogonality As f c increases, N c increases and chip reflectivity increases

Response of Reflector Test Structure Under proper conditions, a SAW reflector looks similar to a Sampling function in frequency and a Rect function in time. Reflectivity is a function of the substrate and reflector material, reflector film thickness, substrate coupling coefficient and line-to-width ratio. The reflector width is approximately the chip length. How approximate is it???

Simulation of a reflector grating frequency response for 1% reflectivity per strip, and 4 different grating lengths. N g equals the number of reflective strips in each grating. For Ng * r small, reflector response looks like sin(x)/x

Plot of magnitude of reflectivity versus the product of the number of strips and reflectivity per strip (Ng. r). For small reflector loss, chip reflectivity, Ng.r, should be large but for reasonable sin(x)/x frequency response, Ng. r product should definitely be less than 2.

OFC Adjacent Frequency Reflection OFC yields reduced reflections between reflectors compared to single frequency PN due to orthogonality Non-synchronous orthogonal frequencies are partially reflected The closer the adjacent frequency chips the greater the partial reflection Must understand non-synchronous reflectivity for all chips

Adjacent Frequency Reflection Assume an RF burst near f o as interrogation signal Very small reflection of incident adjacent frequency RF burst from weak reflector Large adjacent frequency reflection from strong reflector Transmission through the reflector bank can be compromised if chip reflectivity is too large which causes energy rolloff for trailing chips. Small Reflectivity Large Reflectivity

Frequency Transmission vs Reflectivity as a Function of Frequency Offset COM simulations used to determine non-synchronous reflector transmission coefficient Analysis performed for reflector center frequencies 1,2,3 orthogonal frequencies higher and lower than incident wave f SAW is the synchronous reflector of interest is a prior asynchronous reflector in bank For 90% transmission, r * Ng<2

Adjacent Frequency Reflector Transmission Example Independent of the OFC frequency code sequence, the sum of the adjacent frequency interactions is always equal to N f -1, but the interactions for a given frequency is code dependent.

Total Reflected OFC Power - Simple Model –P tot = total output power –T adj =adjacent center frequency transmission – R o =chip reflectivity –r= electrode reflectivity –N g = # of reflector chip electrodes –N f = # of frequencies Equations defined to relate several OFC reflector bank parameters, (approximate and empirically derived)

Example Reflected Power Prediction 10% bandwidth 2% electrode reflectivity No repeated frequencies Predictions compared with COM simulations Large variations caused by multi- reflection interference Approximate analysis and COM model agree well for N f <10. Optimum reflected power for 10<N f <15.

Optimal Reflection Coefficient Reflected power for 5% and 10% fractional bandwidths Optimal empirically derived relationship for # of frequencies (N f ), strip reflectivity (r) and %BW bit : Total reflected power is maximized for R 0 ~ 80% Colors represent reflectivity, white is maximum reflected power

Reflector Test Structure Time Response How approximate is the time domain reflector compared to a Rect function???

Simulation of a SAW grating time response for 1% reflectivity and 4 different grating lengths. Time scale is normalized to reflect the number of wavelengths at center frequency As N g * r increases: 1. Impulse response length of reflector increases beyond desired chip -ISI 2. Energy leakage beyond desired chip increases- energy loss Ng*r=1 appears to be maximum for acceptable ISI

Chip Correlation with Synchronous Interrogator Pulse Correlation is greater than ideal, IR length is near ideal and sidelobes are low. Correlation is greater but sidelobes apparent due to intra-chip- reflections

Chip Correlation with Adjacent Frequency Asynchronous Interrogator Pulse Near ideal response. Cross correlation shows null at chip center, as expected due to OFC properties. Cross correlation shows reduced null at chip center, and trailing correlation sidelobe distortion.

Measured Device Example f o = 250 MHz %BW=28%; BW=69 MHz YZ LiNbO 3, k 2 =.046, r~3.4% (# frequencies) = (# chips) =7 # of reflectors at f o = 24 Ng*r ~.72 Chip reflector loss~4dB

COM Simulation versus Experimental Results – Time Domain Reflections COM Predictions Experimental Measurement Dual delay OFC device having two reflector banks and 7 chips/bank For Ng*r ~.72, chips are clearly defined, ISI is minimal, predictions and measurements agree well

COM Simulation versus Experimental Results - Correlation Dual delay OFC device having two reflector banks and 7 chips/bank For Ng*r ~.72, ideal, COM predictions, and experimentally measured autocorrelation results agree well

General Results and Conclusions Various OFC chip criteria were investigated to provide guidance in choosing optimal design criteria. The ISI and pulse correlation distortion appear to be a limiting or controlling factor for maximizing the chip reflectivity and suggests N g *r<1. For N g *r=1, chip reflector loss is approximately 2.5 dB. Based on reflective power predictions and simulations, the largest number of chip frequencies should be between 10 and 15, with the precise number of frequencies dependent on the bit fractional bandwidth and strip reflectivity.