کنفرانس مهندسی برق ایران

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 Khakisedigh¹ Artin Khosravian² Mobin Jamali³

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.

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