نشریه مهندسی مخابرات جنوب
پیاپی 35 (بهار 1399)

The following paper presents the design and simulation of a low-noise amplifier (LNA) using complementary low power-metal oxide (CMOS) transistors for LAN applications (WLAN 802.11). Input The external capacitor switch connected to the gate-source transistor input node is used in 2 bands of 4.2 and 2.5 GHz. In simultaneous structures using the resonant frequency of the LC tank circuit, the desired frequency is selected, while in the proposed LNA structure, this frequency selection is done only by adding a capacitive switch to the normal degenerate source structure. This reduces the occupied space. It has structures in the circuit compared to others. In addition, the use of the transistor switch technique reduces the power consumption compared to other structures LNA. The offer has a 1 volt power supply and a current of 3.2 mA. The circuit has scattering parameters S11 and S22 less than 19 dB in both frequency bands and has noise numbers of 3.2 and 3.5 dB at 4.2 and 2.5 GHz, respectively. Power output is greater than 20 dB

Electromagnetic compatibility and interference is the premise of any electrical and electronic device; Therefore, the modern design of electronic and telecommunication systems requires that these systems be compatible with the electromagnetic environment around them; And the design must be done in such a way that these disturbances inflict the least impact on the performance of the system. In transmission substations, equipment that passes high currents leads to the production of interfering and disturbing fields. Because control cables are sensitive equipment of transmission substations, they are affected by these interference fields. Satisfying the path of control cables in the event of unconventional fields is one of the points to consider in the posts. The strategy and type of analysis are such that the parameters of electromagnetic compatibility, price and voltage drop are reviewed as decision criteria for optimal routing.

In this paper, the performance of high-speed video cameras using CMOS video sensor technology has been improved. A high-speed CMOS video sensor with parallel analog output of 1000 frames per second at 512 x 512 pixels and 3000 frames per second at 1024 x 1024 pixels For high-amplitude CMOS image sensors, a pixel ADC of a sequential column-parallel approximation ADC has been reported. High-speed, 12-bit columnar-parallel ADC arrays with a small 0.09 array size are included on either side of the image array. A method for accelerating conversion speeds using variable clock synchronization and sampling capacitors has been developed. Is. The pixel load amplifier achieves a light sensitivity of 19.9 V / lxs. The full signal size at the pixel output is 1.8V in the power supply 3.3V and the noise level is measured at 1.8 and the dynamic signal amplitude is 60dB.

Radioidentificationsystemto identifyobjectswithout the use ofphysicaltoolsprovided. Eachof the system is include of three section, tag, reader and host computer that tag’s antenna is necessary to identified by readers. In this paper, new design of a dipole antenna with rectangular fractal shape radiator element with two frequency range including Ultra High Frequency (UHF) band and microwave band has been obtained that using measured return loss bandwidth, also it can be simulated impedance bandwidth. The simulations show radiation pattern of the antenna is cover the entire frequency range including UHF and microwave  band.

Due to the increasing variety of medical images and the need for physicians to perform these images for a more accurate diagnosis, the need for automated systems that make the diagnosis process faster and easier is felt more than ever. These algorithms allow the identification, measurement and comparison of images very accurately by matching two homosexual or heterosexual images. In this paper, in order to automatically stabilize the magnetic resonance images of the brain, first, efficient spatial features are extracted through active contours. The point points are selected from the center of gravity of the closed spaces in the image, and after evaluating the point points and selecting the corresponding points, using the appropriate geometric transformation, it stabilizes the two brain images optimally.