لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Novel continuous phase DDS model for linear Chirp Signal Simulation in Pulse Compression Radar
نویسندگان :
Shahin Khakisedigh
1
Artin Khosravian
2
Mobin Jamali
3
1- دانشگاه صنعتی خواجه نصیرالدین طوسی
2- دانشگاه صنعتی نوشیروانی بابل
3- دانشگاه صنعتی اصفهان
کلمات کلیدی :
Chirp, Linear Frequency Modulation (LFM), , Pulse Compression(PC), continuous phase FSK (CPFSK), DDS-CG direct digital Synthesizer Chirp Generator(DDS-CG), direct analog synthesizer(DAS), Synthetic Aperture Radar (SAR), Fresnel Integral, Numerically controlled oscillator (NCO), DDS Simulation model
چکیده :
One of the common signals used in radar applications is chirp signal, as well as Linear chirp signal is used for radar transmitters and communication [1]. “Direct Digital Frequency Synthesis (DDFS or simply DDS), also known as Numerically Controlled Oscillator (NCO), is a technique using digital-data and mixed/analog-signal processing blocks as a means to generate real-life waveforms that are repetitive in nature” [2]. Common method of chirp signal generation is DDS or Direct Analog Synthesizer (DAS). In This work we present a novel time-sample based model to simulate DDS signal in a manner proper for DDS computer simulation (MATLAB). The model also can be used to predict DDS signal behavior and some other aspects in the future works. The Model helps us to choose the main parameters to achieve best possible replacement of analytical chirp signal. This is an important issue has been covered in this paper. This closed form expression (simulation model) is presented to evaluate and compare the DDS-CG signal with its mathematical counterpart. The presented model uses continuous phase frequency-shift keying concept (CPFSK). Accuracy verification of the model x ̃_M [n] is investigated by comparison with mathematical representation of signal named x(n) using RMSE term both in time domain. Furthermore the result of pulse compression in equivalent receiver (Matched filter) is evaluated. In this work the minimum required number of steps (M_min) to model the analytic chirp signal by the CPMSFK model x ̃_M [n] has been determined. This M_min guarantees the minimum defined similarity (50%, 90%) with the measure of normalized RMSE. SNR loss due to non-ideal properties of y ̃_M [n] w.r.t ideal chirp output y[n] calculated and compared with verify the model efficiency and its accuracy.
لیست مقالات
لیست مقالات بایگانی شده
Microwave Dielectric Characterization of Liquids Using Double Split Elliptical Resonator Integrated With a PDMS-Based Sample Holder
Zeynab Alipour - Soheil Moradi - Mehdi Fardmanesh
کنترل دوز داروی بیماران مبتلا به لوسمی با استفاده از روشی نوین بر پایه یادگیری تقویتی عمیق
مریم افخمی - امین نوری
Identifying Influential Nodes in Complex Networks by Multiple Attributes Model
Shima Esfandiari - Mostafa Fakhrahmad
Introduce a novel approach to orbital maintenance in CRTBP
Amirreza Kosari - Ehsan Abbasali - Jamileh Hamzei - Majid Bakhtiari
Investigation of Statistical and Mathematical Indices for Transformer Frequency Response Analysis and Winding Condition Diagnosis Using Machine Learning Methods
Ali Ghorbani - Hossein Parsadust - Ali Khani - Mohammad Molaei
Radio frequency energy harvesting with multi band rectenna in GSM 1800, UMTS2100 and WiFi
Sahar Bayat - Zahra Bahrami - Asghar Keshtkar
Total Transfer Capability Improvement Using High Temperature Low Sag Conductors
Seyed Sina Mousavi-Seyedi - Mohammad Reza Rezaei - Mohammad Reza Miveh
الگوریتم تشخیصی برای طبقه بندی سرطان خون لوسمی لنفوسیتی حاد با استفاده از شبکه های عصبی عمیق در یادگیری آنلاین
رضا گودرزی - علی جلالی - امید هاشمی پورتفرشی
مدیریت انرژی شارژر خودروهای الکتریکی، به منظور افزایش ضریب نفوذ خودروهای الکتریکی و بهبود پروفیل ولتاژ شبکه های توزیع الکتریکی هوشمند با استفاده از شارژ خودروها در محل کار
مهدی افشار - سعید اسماعیلی جعفرآبادی
A high speed method for features extraction in face recognition systems
Hosein Khorami - Hadishahriar Shahhoseini
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
