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Simulation Study of Raw Signal for Missile-Borne Synthetic Aperture Radar

Author: LinJiangHong
Tutor: YuWenXian
School: Shanghai Jiaotong University
Course: Information and Communication Engineering
Keywords: Synthetic Aperture Radar (SAR) Missile-borne SAR Raw Signal Simulation Radar Cross Section (RCS) Raw SignalEvaluation
CLC: TN957.51
Type: Master's thesis
Year: 2013
Downloads: 76
Quote: 0
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Abstract


Synthetic Aperture Radar (SAR) is a full-time, all-weather, highresolution and high precision microwave remote sensing technology. Byapplying SAR technology to active radar seeker, it will either providereliable detection or control missile to hit target precisely even undercomplicated battlefield environment and improve missile combatperformance. However, because of complicated imaging principle,expensive imaging equipment and difficult data acquiring, it is not an easyjob in signal imaging and error correction.Therefore, specific Missile-borne SAR raw signal that meets differentrequirements is necessary in system designing and imaging algorithmresearch, etc. Thus, obtaining required Missile-borne SAR raw signalthrough simulation becomes a significant way since it is unrealistic toacquire raw signal data by missile-borne or airborne. The echo datagenerated by the missile-borne SAR raw signal simulator can be used forverifying the performance of seeker, providing strong evidence forMissile-borne SAR system designing and verification. Besides, it can beused to test the performance of the Missile-borne SAR imaging system andcheck the validity of the imaging algorithm.Facing to Missile-borne SAR raw signal analog, the thesis putsforward a simulation method based on computational electromagnetic(CEM) by research and implementation of Range Time domain PulseCoherence (RTPC) method and Range Frequency domain Pulse Coherence(RFPC). In the method, Radar Cross Section (RCS) of3D model iscalculated directly and then raw signal is simulated according to SARsystem parameters. The tradition methods are restricted by information from existent SAR system and image. On the contrary, our method canprovide raw data which is independent from the system and image andmeets various demands. After that we also do the research in raw signalevaluation and parallel computing.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Radar signal detection and processing
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