Sudhir Kumar Chaturvedi

Detection of Ocean Wave Parameters Using Synthetic Aperture Radar (SAR) Data

This study describes the estimation of spherical wave parameters that appears in Synthetic Aperture Radar (SAR) images acquired over the coast of Chukk, Micronesia. The main causes for the interaction of SAR signals with ocean waves can be retrieved through the Bragg scattering mechanism. Dominant wavelengths were retrieved by means of Fast Fourier Transform (FFT) analysis in terms of peak frequency responses. Sea surface slopes were then obtained from the dispersion relation with consideration of different water wave conditions for each subset area, and wave heights were estimated with the use of dominant wavelengths and sea surface slopes. The work presented in this paper may be useful to retrieve the various wave parameters over different regions. The method used is a novel technique to correlate the relationship between SAR image parameters and dispersion relation.

Design and Calculation of Power Aperture Parameters with Variable SNR

The paper represents a process for designing search radar and power aperture calculation for variable signal-to-noise ratio (SNR) methods. Surveillance or search radars regularly search defined volume in space scanning for preys. These are usually used to excerpt prey data such as range, angular position, and probably prey velocity. Various search patterns are to be accepted, relying on the radar design and antenna. To accomplish this goal, we use the extension of radar range equation which is used to analyze and design the surveillance radar which is most frequent in large radar system, and the performance measurement is usually used to classify the radar kinds is power aperture product that is the product of the radar average power and the effective radar antenna area. Tracking radars use pencil beam patterns of antenna. It is because of this that a different search radar is desired to facilitate prey acquisition by the tracker. For making this, we are taking the assumption that we must have to search the angular region, and taking all azimuths and elevation area of the sector is small. The area may be in various shapes, in any coordinate system. The most opted surveillance regions are the area of the surface of a sphere surrounded by few elevation and azimuth stretch.

Estimation of Probability of Detection and False Alarm Alert for Swerling Targets

The objective of this research is to find the probability of detection of fluctuating targets. The plot between detection probability, false alarm probability, and signal-to-noise ratio (SNR) will be made for Swerling fluctuating target models. The variation of the scattered signal is based on radar cross section (RCS). We have taken two Swerling targets: SWI represents scan-to-scan fluctuating targets, where SWII represents fast pulse-to-pulse fluctuation. We have used the mathematical relation for respected targets. On the basis of mathematical formula, we have done MATLAB coding to find the graphs between probability of detection and false alarm probability, and graphs between other parameters define the correct target.

Estimation of Parameters of Target Using RADAR Data Sets

Radar (radio detection and ranging) has large number of application ranging from remote sensing to missile guidance, but it is widely employed to estimate the velocity and position of a moving or presence of stationary targets. Different types of radars which are used for this purpose are pulse Doppler radar, MTI (moving target indicator) radar with different types of configuration like monostatic or bistatic. This work primarily focuses on the velocity and position estimation of a moving target using different radar data sets. Initially, Doppler effect and time delay of the received signal for a simple monostatic radar configuration are examined. Then, the graphical user interface (GUI) is developed in MATLAB to model the ambiguity function in order to derive the target parameters from the received signal.

MATLAB-Based Graphical User Interface Development of RADAR with the Implementation of Noise Under Various Bands

Our aim for this research is to initiate a code of RADAR which can locate the position of target even under noise under the various classified bandwidths to provide us with RADAR range and plot a graph between range and SNR using MATLAB. We have developed an application based on a GUI for Windows that creates the procedure of estimating the RADAR range equation quicker and further fitting. With the GUI, we can enter the constraints as an input required to calculate the range and noise of the RADAR as a function of frequency and show the results accordingly on the graphs. Using this GUI, we can generate a RADAR model as per our convenience for testing using parameters and construct the model that is with optimum performance.

Calculation of Aircraft Altitude Using RADAR Dataset: A Basic Study and Implementation of FM Concept

The main focus of this study is the altitude estimation are based on FM based 2-D Radar. This method carries out the measurements of desecrate signals mathematically based on the algorithms provides for the 2D principles. By applying airborne RADAR altimeter technique, centimeter level of accuracy can be measured. The 2-D method can be employed to estimate the height information. The method is completely based on the assumption that the target aircraft has enough velocity so that the variation of signal transmission and receptions can further be calculated and estimated. The method shows the good result and can be able to distinguish between high and low targets on normal 2D radars. The results provide the good estimate for the resolution of 100 m which can be considered as the optimized result for the height calculation.