I. Garvanov

Study of moving target shadows using passive Forward Scatter radar systems

Forward Scatter GPS (FS-GPS) radio shadows formed by different moving objects are investigated in this article. FS radio shadow is essential physical phenomenon, which can be used to extract some useful information about the objects that generate it. Registration of FS-GPS radio shadows from moving targets is performed using a small commercial GPS antenna and stationary receiver. Topology of the experiment meets the requirements for the appearance of the FS effect. The results presented in this article show that from FS-GPS radio shadows of different objects can be extracted information about the parameters of the object (size, speed and direction of movement, distance to the receiver). The information obtained can be used in various applications like those in classic radar, including radio barriers, security, classification and identification of moving and stationary objects.

Data association algorithm in multiradar system

In this paper we apply a data association in track-before detect (TBD) with a polar Hough transform (PHT) in a radar network. The proposed algorithm is applied in multiple input multiple output (MIMO) radar system. We study the sensitivity of TBD multi-radar system as a function of the errors of target trajectory parameters measurement. The results are obtained in the presence of Randomly Arriving Impulse Interference (RAII) and the target coordinates (range and azimuth) are measurable with and without errors. The study of the signal processing used in detectors is performed through Monte-Carlo simulations in MATLAB computing environment.

Marine target classification and parameter estimation using Forward Scattering Radar

In this paper a possible original method for rough classification of marine target, through estimation of the velocity and linear size of moving sea objects using Forward Scattering Radar (FSR) system is present. The target velocity and size are estimated by cross-correlation between instantaneous frequencies of the input signal and the predefined reference signal. The estimation algorithm is tested on the base of real experimental signal from the boat moving with a given velocity, that have been obtained by the team from Birmingham University using Forward Scattering Radar.

Radar Detection and Track Determination with a Transform Analogous to the Hough Transform

We propose in this paper the standard Hough transform to be changed with analogous polar Hough transform (PHT). The obtained polar Hough detection algorithm is very comfortable for track and target detection because the input parameters of this transform are the output parameters of the search radar. Another important advantage is the transform stability when the target changes its speed and flies at different azimuths.

Forward scatter radar detection and estimation of marine targets

In this paper we research original structure of the Bistatic Forward Scatter Radar detector and signal parameter estimator of the marine targets at the background of a sea clutter. The time duration, power, energy and the maximum of the Doppler frequency for MISL and other boat are estimate for many trails. These results will make possible to be used for the data mining classification with the WEKA software. We propose and original structure of the FSR Rough Target Classifier, of the marine targets at the background of a sea clutter. Using the CFAR processor approach for Target detection and parameter estimation of the first minimum and maximum frequency from Power Spectrum Density, we receive the signal parameters in the FSR in the real time. On base this signal parameters, we calculate target parameters velocity and length from two equations, for velocity of targets in bistatic systems and for length of FSR target propose by Cherniakov. These parameters, length and velocity, we may to use for rough targets classification, because they consists all information about the boat. The research algorithm is investigated on the base of real data records that have been obtained by the team from Birmingham University and Sofia University using Forward Scattering Radar.

Moving Target FSR Shadow Detection Using GPS Signals

Forward Scatter GPS (FS-GPS) radio shadows obtained from different objects are investigated in this article. FS radio shadow is essential physical phenomenon, which can be used to extract some useful information about the objects that generate it. Registration of FS-GPS radio shadows from moving and stationary objects is performed using a small commercial GPS antenna and mobile and stationary receiver. Topology of the experiment meets the requirements for the appearance of the FS effect. The results presented in this article show that from FS-GPS radio shadows of different objects can be extracted information about the parameters of the object (size, speed and direction of movement, distance to the receiver). The information obtained can be used in various applications like those in classic radar, including radio barriers, security, classification and identification of moving and stationary objects.

Detection acceleration in Hough parameter space by K-stage detector

The sequential algorithm for target detection in impulse environment by K-stage processing in polar Hough (PH) space is investigated. This algorithm permits the search radar to minimize the time of target detection, because the sequential detector used minimizes the number of the necessary radar antenna scans, while the conventional detector uses a fix scan number. The aim of our study is to minimize the detection time by minimizing the number of radar scans, when the detectors parameters and characteristics are fixed. The average estimates of the minimal number of scans are obtained using the Monte Carlo simulation approach when the detectors parameters are fixed. The proposed algorithm is simulated in MATLAB environment. The efficiency factor of the investigated detector for radar signal detection and track determination in conditions of binomial distributed impulse interference is obtained by using Monte-Carlo approach. The prepositional detector, compared to the conventional detector, accelerates the detection procedure several times.

Air target detection with a GPS forward-scattering radar

Forward scattering radar (FSR), as a specially configured bistatic radar, is provided with the capabilities of air target detection by using the GPS signal shadow. This paper discusses the experimental results obtained by GPS receiver near to Sofia airport. This research aims to demonstrate the feasibility of the Forward Scattering GPS system to detect air targets.

Detection and estimation of pulsar signals for navigation

The paper focuses on scientific issues related to new application of pulsar signals for airplane-based navigation. A possible algorithm for processing of pulsar signals that consists of epoch-folding, matched filtering and detection is proposed and evaluated in this paper. The algorithm proposed is verified using the real experimental data obtained from the radio observatory Dwingeloo, the Netherland. The serious trouble in this study is that the total number of the input data within a repetition period is much more of the number of samples in a pulsar template taken from the EPN database. Therefore have been developed and evaluated two new algorithms for epoch-folding, which not only improve Signal-to-Noise Ratio of pulsar signals but as well reduce the number of samples of the output signals to the required number.

Improvement in radar detection through window processing in the Hough space

The subject of this paper is estimation of straight-line parameters noisy edge points using the Polar Hough transform. We propose a new detection algorithm in Hough space that will increase detection probability when the target coordinates are measured with errors. We compare the accuracy of the method with result from polar Hough transform when the target coordinates are measured with out errors. The influence of trajectory parameters accuracy on the quality of work of TBD multi-radar system is estimated.