Denny Darlis

Design of camera array interface using FPGA for nanosatellite remote sensing payload

Image quality is one of the important aspects in nanosatellite remote sensing missions. Image quality parameters, such as image detail and coverage area, have to be taken into consideration in designing nanosatellite remote sensing payload while limited mass, dimension, and power consumption of nanosatellite add another constraint. Lengthening the lens focal length of the camera can increase the image detail but this causes the smaller coverage area of the image. To maintain the detailed image with wide coverage area, the concept of synthetic aperture optical imaging is used in this research. Synthetic aperture optical imaging is a concept that combines images from array of camera capturing the same object from various angles. FPGA XuLA2 LX9 is used as On Board Data Handling (OBDH) in this research to increase the performance. The system built in this research is synthetic aperture optical imaging with 2 × 2 cameras, using LS Y201 camera modules which produces JPEG image with VGA resolution 640 × 480 pixels. The result achieved in this research is image with resolution 1280 × 960 pixels produced by 4 cameras with resolution 640 × 480 pixels with the average time of fetching the image data is 27.58498 s for low compressed image and 11.1972 s for high compressed image.

Analysis of camera array on board data handling using FPGA for nano-satellite application

Nanosatellite has limited functions because of the mass constraint from 1 to 10 kg. Therefore, the requirement of low cost, low mass, low dimension, and low power consumption must be fulfilled in designing and choosing the component of nanosatellite. To obtain wider coverage area while maintaining the low dimension, camera array was used to produce image with wider area. In this research, On Board Data Handling (OBDH) implemented in FPGA used below 100% of the total FPGA resource. LUT-FF pairs was the most used resource with 75% of usage. OBDH also combined the image from each camera to get image with wider area. The FPGA and 4 cameras used 2264.44 milliwatt of power consumption, higher than the remote sensing system of SNAP-1 nanosatellite which used 1 milliwatt of power consumption.

Design and implementation of RFID line-follower robot system with color detection capability using fuzzy logic

Recent mobilization and transportation system in an industrial complex or in an office building, generally still using manual operated system. It has weaknesses in operation time, precision and operator/user authorization. Theres a need to make complementary system to overcome those weaknesses. One of the available solution is to use AGV (Automated Guided Vehicle) robot systems, one of the example of this system is line-follower robot., In this study, the line-follower robot is designed to detect different color lines which represent different route, and restrict the operator authorization. This system use microcontroller with fuzzy logic implementation, using Mamdani model inference method. To detect lines, robot is equipped with LED and LDR-based color sensor, and RFID-based identification/authorization system. Output of the system is robot movement, so the robot can follow the guide lines., From the test results, the completed system shows the system is capable to detect different color lines with 100% accuracy in 10-bit ADC value. It also capable to restrict operator authorization in pair with the stated RFID cards with 100% success result. Robot is able to move according to the predetermined guide lines from RFID card input with the maximum speed at 0.083m/s.

Design and implementation of linear precoding LTE downlink based on fpga

The problem that often occur in multi-antenna wireless communication is how to maximize the throughput. Precoding is a generalization of beamforming to support multi-layer transmission in multi-antenna wireless communications. Beamforming is a signal processing technique used in sensor arrays for directional signal transmission or reception. In conventional single-layer beamforming, the same signal is emitted from each of the transmit antennas with appropriate weighting such that the signal power is maximized at the receiver output. When the receiver has multiple antennas, single-layer beamforming cannot simultaneously maximize the signal level at all of the receive antennas. Thus, in order to maximize throughput in a receiving antenna system, integrated precoding in multi-layer beamforming is required. LTE linear precoding system for the transmitter side is built in this research. The precoding system will be built in VHDL code and will be implemented on FPGA. In this research, the precoding sistem consists of 64-QAM Mapper as input system, and will be connected to OFDM (IFFT) block. The precoding is built based on Transmission Mode (TM) 6 of LTE release 9 and will be using 3GPP codebook standard as the precoding matrix for TM 6 for 2x2 MIMO. The research shows that by the used of linear precoding system in transmission, it decreases the complexion of detection system in precoding block on the receiver side. The implementation process shows that the research is implementable on hardware and will use 62% occupied slices, 11% slice register, and 27% of bounded IOBs resources of FPGA. with 2021 clock in total process, 121 clock in delay process and 1900 clocks to produce one OFDM symbol. The bitrate of the system is 161.68 Mbps.