V. Kyovtorov

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.

STAP approach for DOA estimation using microphone arrays

In this paper, the Space-Time Array Processing (STAP) approach is applied to sound source localization using adaptive microphone arrays. Two beamforming methods, conventional and MVDR are used for estimating the direction-of arrival (DOA) of sound signals arrived at the microphone array from different sensors in the observation area. The simulation scenario describes a situation where three sensors generating three different sound signals (warning, alarm and emergency) and one source of natural noise (car) are located at various points in the observation area. The results obtained demonstrate that in contrast to the conventional method of beamforming the MVDR gives accurate estimates of The DOA of all sound signals generated by sensors in the observation area.

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.

Analysis of multi-sensor radar detection based on the TBD-HT approach in ECM environment

This paper describes in details the performance of an advanced detecting algorithm for multi-sensor target Track Before Detection (TBD) through the Hough Transform (HT). The detection algorithm employs the idea of using the Hough Transform for joint detection of linear trajectory targets. The polar modification of the TBD-HT approach is applied to a multi-sensor Polar Hough detector for multi-sensor target/trajectory detection in ECM environment with a Stand-off-Jammer (SOJ). A CFAR detector is proposed for signal detection in the (r-t) space instead of fixed thresholding in order to enhance the target detectability in ECM environment. In this paper a centralized structure of a multi-sensor Polar Hough detector is considered. The expressions calculating the probability characteristics, i.e. the probability of target/trajectory detection and the false alarm probability, are analytically derived. The multi-channel TBD-HT detector probability characteristics are compared with those for the conventional signal processing.

UXO Signal Multi Sensor Detection and Estimation

In this chapter, the original advanced algorithms for stepped-frequency GPR imaging are considered. In stepped-frequency GPR, the range profile formation is carried out by reconstruction of a wideband chirp by combining a set of stepped-frequency chirp signals in the time domain. Using the Modelsim simulator, it is shown that the processor VIRTEX II Pro is suitable for implementation of this algorithm. A simple convolution algorithm for simulation of stepped-frequency GPR images from multi-layered subsurface media is described. Different approaches and algorithms for the basic GPR signal and image processing are also considered in this chapter. These algorithms are used for improving the image quality of underground objects, e.g. pipes. It is shown that applying different filters (CFAR, Hough, Kalman, Particle) to GPR image processing is a good decision in the sense of estimation accuracy, probability of target detection and false alarm.

FPGA implementation of low-frequency GPR signal algorithm using frequency stepped chirp signals in the time domain

This paper concerns the FPGA implementation of a time-domain stepped frequency method, which is suitable for ground penetrating radar implementation. It describes the block of the algorithm from implementation point of view. The conclusion gives information about the real-time constraints, and the device utilization for the particular reconfigurable processor.

Multisensor Detection in Randomly Arriving Impulse Interference Using the Hough Transform

In this chapter, several advanced detection algorithms for Track-Before-Detect (TBD) procedures using the Hough Transform (HT) are proposed and studied. The detection algorithms are based on the scheme described in (Carlson et al., 1994) to use the Hough transform for simultaneous target detection and trajectory estimation. The concept described in (Carlson et al., 1994) accepts that a target moves within a single azimuth resolution cell, and the distance to the target is estimated for several last scans forming the (r-t) data space. The Hough transform maps all points from the (r-t) space into the Hough space of patterns. The association with a particular pattern is done by thresholding the Hough parameter space with a predetermined threshold. In order to enhance the target detectability in conditions of Randomly Arriving Impulse Interference (RAII), a CFAR processor is proposed to be used for signal detection in the (r-t) space instead of the detector with a fixed threshold as it is suggested in (Carlson et al., 1994). The results obtained show that such a Hough detector works successfully in a noise environment. In real-time and realistic applications, however, when the two target parameters (range and azimuth) vary in time, the usage of the Polar Hough transform (PHT) is more suitable for radar applications because the input parameters for the PHT are the output parameters of a search radar system. Such a Polar Hough detector combined with a CFAR processor is proposed for operation in RAII conditions. The results obtained by simulation illustrate the high effectiveness of this detector when operating in strong RAII situations. Finally, the TBDPHT approach is applied to the design of a multi-channel Polar Hough detector for multisensor target detection and trajectory estimation in conditions of RAII. Three different structures of a nonsynchronous multi-sensor Polar Hough detector, decentralized with track association (DTA), decentralized with plot association (DPA) and centralized with signal