Design of a Linear LNA for 5G Applications using 45 nm Technology

A low noise amplifier (LNA) plays a very significant role in communication systems. Despite having a good amplification of the signal it must offer other attributes like noise figure, linearity etc for making the communication system more robust. With the advent of 5G communication, the requirement of a high BW LNA is becoming important. This paper presents the design of a LNA which have a common gate input configuration, an active inductor in place of a passive inductor, common drain amplifier at the output stage and a linearity circuit. Common gate amplifier offers a good voltage amplification while the common drain stage enhances the stability. The active inductor facilitates reduction of the die area paving the way for a cost efficient structure. This proposed design achieves a gain of 15.17dB with substantial enhancement of linearity. A good noise figure of 7dB is obtained while using 11 transistors and eliminating the need of passive inductors. The peak gain is achieved at 3.5GHz

Implementasi Deep Learning Menggunakan Arsitektur Long Short Term Memory(LSTM) Untuk Prediksi Curah Hujan Kota Malang

AbstrakTidak selamanya cuaca di Indonesia berjalan dengan normal atau sesuai dengan musimnya, cuaca sering berubah secara tiba-tiba setiap saat karena ada faktor-faktor yang mempengaruhi penurunan dan peningkatan curah hujan. perkiraan cuaca sangatlah dibutuhkan dan sangat bermanfaat olah berbagai pihak karena bisa menjadi acuan bagi berbagai kalangan untuk menjalani kegiatan mereka sehari-hari. Penelitian dilakukan menggunakan metode Deep Learning karena dari beberapa penelitian sebelumnya yang menggunakan Deep Learning dalam kasus yang berbeda mampu menghasilkan akurasi diatas 85%. Deep learning adalah jaringan yang terdiri dari beberapa layer. Layer-layer tersebut berasal dari kumpulan node-node. Arsitektur yang digunakan yaitu Long Short Term Memory(LSTM) karena pada penelitian-penelitian sebelumnya menggunakan LSTM dalam kasus yang berbeda mendapat hasil yang baik yaitu RME yang dihasilkan kecil. LSTM memiliki struktur seperti rantai dan struktur pada tiap sel terdapat 3 gate yaitu forget gate, input gate, dan output gate. Oleh karena itu, perhitungan yang dilakukan lebih kompleks ditambah lagi dengan Deep Learning diharapkan mendapat hasil yang lebih akurat. Data yang digunakan yaitu data curah hujan kota Malang yang berasal dari BMKG. Abstract The weather in Indonesia does not always run normally or in accordance with the season, the weather often changes suddenly at any time because there are factors that affect the decrease and increase in rainfall. weather forecasts are needed and very useful if the various parties because it can be a reference for various circles to undergo their daily activities. The study was conducted using Deep Learning method because of some previous research using Deep Learning in different cases able to produce accuracy above 85%. Deep learning is a network consisting of several layers. The layers are derived from a collection of nodes. The architecture used is Long Short Term Memory (LSTM) because in previous studies using LSTM in different case got good result that is small generated RME. LSTM has a structure like chains and structures in each cell there are 3 gates of forget gate, input gate, and output gate. Therefore, the calculations performed more complex plus the Deep Learning is expected to get more accurate results. The data used is the rainfall data of Malang city that comes from BMKG.

Wave Gate Tracking Method Based on Locus Fitting for UAV Following the Moving Target

Tracking a moving target on the ground for an air robot in the complex environment is one of the key problems to be solved in the cooperation technology between air and ground robots .This paper mainly focused on solving this problem of UAV by presenting the wave gate tracking method based on fitting trajectory of the moving target. The method fits the trajectory by using quadratic function and predicts the center position of next frame. Then tracking target by wave gate, input the next frame image, the center of wave gate will be changed as the predicting center, so the new wave gate will be generated, and in the wave gate if existing a moving target will be detected. By using gate tracking, input next frame picture, set the gate center as the predicted center, create a gate and check the moving target in gate. To verify the feasibility and validity of the study, the experiments are conducted on a designed platform which called indoor multi-rotor-craft-robot system. The experiment results show that the method presented in this paper has a very good real-time performance and robustness.

Implementation of a dynamically flexible optoelectronics logic gate using a fiber laser, numerical study

We implement an algorithm to reproduce the behavior of a dynamic logic gate which consists of three elements: a fiber laser in chaotic regime, a threshold controller and the output of the logic gate. The output signal of the fiber laser is sent to the logic gate input as to the threshold controller; threshold controller output signal is sent at the entrance of the logic gate and also fed back to the fiber laser which changes their dynamic behavior. The output of the logic gate consists of a difference amplifier; this compares the signals sent by the threshold controller and the fiber laser, resulting logic output that depend on an accessible parameter in threshold controller. We present the numerical results of the implementation of a dynamic logic gate using fiber laser, which demonstrates the ability to change the type of logic gate by modifying a parameter of threshold control.

A Novel Low-Voltage CMOS Mixer with Differential Floating-Gate Input

In order to adapt to low-voltage operating of the Gilbert CMOS integrated mixer, a novel mixer is researched which with floating gate amplify transistor and a few stack from the power supply to the ground. The mixer had some advantages that are avoided the input DC voltage imbalance and suppressed 1/ f noise. The mixing feasibility is confirmed by time domain simulation, and the mixing output signal quality is analyzed by spectrum simulation. The results show that the mixer output main spectrum is the difference for various frequency input signal. The main-spectrum is more than 6dB with three order inter-modulation interference amplitude.

A UWB CMOS Transceiver

A direct-conversion ultra-wideband (UWB) trans-ceiver for Mode 1 OFDM applications employs three resonant networks and three phase-locked loops. Using a common-gate input stage, the receiver allows direct sharing of the antenna with the transmitter. Designed in 0.13- m CMOS technology, the transceiver provides a total gain of 69–73 dB and a noise figure of 6.5–8.4 dB across three bands, and a TX 1-dB compression point of 10 dBm. The circuit consumes 105 mW from a 1.5-V supply.