Ground Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position and velocity of ground moving target. Pose, angle between position and velocity, can be derived from estimates of position and velocity and it is often used to reduce the search space and hence increase likelihood of target identification (ID) and Automatic Target Recognition (ATR) algorithms. Due to low resolution in some radar systems, the GMTI estimated pose may exhibit large errors contributing to a faulty identification of potential targets. Our goal in this paper is to define better methodology to improve pose estimate, using real time target signature versus stored signatures. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking.

Ground Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position and velocity of ground moving target. Pose, angle between position and velocity, can be derived from kinematics estimates of position and velocity and it is often used to reduce the search space of a target identification (ID) and Automatic Target Recognition (ATR)  algorithms. Due to low resolution in some radar systems, the GMTI estimated pose may exhibit large errors contributing to a faulty identification of potential targets. Our goal is to define new methodology to improve pose estimate. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking.

Microstrip antennas synthesis is a demanding task; many of the equations involved in the process use various approximations due to the nonlinear properties and relations that govern the antenna synthesis. In This paper we tried to use genetic algorithm to design a circular microstrip ring that operates in a predefined frequency band (402 – 405 MHz) Medical Implant Communication Service Frequency Band. The methodology and procedures are presented, a presentation of the method is provided and an HFSS simulation of the antenna is made. Results are presented with guidelines for further future work

In this paper fuzzy logic principles are used to control the level and temperature of water in fish eggs breading tank. The control task aims to keep the water level and the water temperature in a tank within certain ranges, the temperature due to Newton’s law of cooling would drop down, and to keep it within limits, hot water is added, and cold water is drained. Sensors for temperature and level are used to give fuzzy input to the fuzzy controller which outputs the amount of opening in the two control valves.

High quality inverse scattering based scanner for pavement nondestructive testing needs a high performance antenna with certain characteristics. This paper considers an UWB antipodal Vivaldi antenna for this application. Simulation results for the targeted frequency range obtained through the use of Sonnet modeling software show that this antenna is characterized by a good match over the broad frequency range as well as a frequency dependent gain. The antenna performance has also been analyzed in the near field by considering tangential electric fields in the close proximity of the radiating structure. The antenna described in this paper is a part of a larger research project with a goal to develop a scanning device based on inverse scattering methods and used for accurate, non-destructive, and inexpensive characterization of road pavements. The system will use a state-of-the-art, fast and accurate numerical solver for 3D inverse scattering problems in stratified media. The solver will utilize as input the measurement data provided by the antenna scanner to reconstruct several properties of the paved structure under test. The pavement under test will be illuminated by a number of transmitting antennas, and the scattered field collected by receiving antennas in the measurement plane. The scanning system will measure the amplitude and phase of the scattered electric and magnetic field vectors at the receiving antennas, at a set of discrete frequencies in the microwave range. Both monostatic and bistatic measurement configurations will be considered (1).

This paper presents a digital signal processing technique with an efficient algorithm for ultrasonic distance measurement in the air with high accuracy. The time difference -in terms of samples- between the beginning of a transmitted pulse and the peak value of the response is used to determine the Time-of-Flight (TOF). The peak value of the filtered response is determined using the magnitude of a special complex signal using Hilbert transform and an appropriate parabolic interpolation. The method effectively eliminates the noise and disturbance in the received signal and makes the TOF independent of the received signal strength. Experimental results show accuracy better than 1 mm at a distance of about 1 m.