توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Design, Simulation and Synthesis of Microstrip Array Antenna for Vital Sign Monitoring Radar Doppler
اطلاعات انتشار: شانزدهمین کنفرانس دانشجویی مهندسی برق ایران، سال
تعداد صفحات: ۴
Detection and remote monitoring of heart andrespiration by radar Doppler is a very powerful tool inemergency, security, military and health care applications.Using of transceiver antennas with small size, high gain andsufficient beam width is from critical requirements in thesesystems. In this paper we present the design of a smallmicrostrip array antenna at 2.45 GHz. The simulation and realdata validation show the good performance of the array withthe gain higher than 7dB.<\div>

۲Microwave Breast Cancer Imaging via MVDR Beamforming Using Compressive Sensing
اطلاعات انتشار: اولین کنفرانس الکترونیکی بین المللی کنترل،مدارهای الکتریکی، ارتباطات و شبکه های هوشمند، سال
تعداد صفحات: ۴
In microwave breast cancer imaging the signals are ultra–wideband and because of this, according to the nyquist theorem, the sampling rate of the signal is vey high. In this paper a novel breast cancer imaging method using compressive sensing (CS) is proposed. In this method, the received signals are sampled with a rate less than the nyquist rate, then using compressive sensing, we reconstruct the original signals and perform the minimum variance distortionless response (MVDR) beamforming for breast cancer imaging. Comparing the results of the proposed method with the results of the previous MVDR beamforming method, we conclude that using our method we can detect the tumor place with lower samples than the nyquist rate. We compare the signal–to–clutter–ratio (SCR) of these two methods.<\div>

۳Passive Position Estimation of Moving Target Using the Measured Signals of TDOA and FDOA and Intelligent Kalman Filter
اطلاعات انتشار: کنفرانس بین المللی پژوهش در علوم و تکنولوژی، سال
تعداد صفحات: ۹
In this paper, a moving target tracking algorithm using measured signals of Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) is presented. TDOA algorithm alone is not enough to estimate the position of the target region. That is why in this paper by using both TDOA system and measured FDOA signals, location and speed estimation of target are addressed. Kalman filter has a significant application in estimation of both calculations and location. Nevertheless, when noise and uncertainty exist in the estimation, the estimation error could be great.In this paper, it is intended to present design of a robust estimator as an optimization problem. Basically, a robust system must be able to withstand parametric changes and also has a constant and proper operation in almost all cases. Intelligent methods are used in this paper to determine the optimal values of parameters of robust estimator. Considering continuous nature of studied optimization problem (regarding the real nature of unknown parameters), algorithms should be used that work on continuous spaces, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE). In this paper, both PSO and DE algorithms are used for designing the robust estimator and then a two–degree system with one uncertain parameter in state matrix is used in state estimation<\div>
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