Carrier diverse radars, known as dual frequency radars, employ two different frequencies, and can be effective in determining the moving target range in urban sensing and through-the-wall radar applications. In this paper, we derive the maximum likelihood (ML) estimator for the micro-Doppler motion parameters from the dual frequency radar returns. Micro-Doppler signatures, which are commonly as...

Microwave imaging techniques, in particular synthetic aperture radar (SAR), are able to obtain useful images even in adverse weather or darkness, which makes them suitable for target position or feature estimation. However, typical SAR imagery is not informative for the operator, because it is synthesized using complex radio signals with greater than 1.0 m wavelength. To deal with the target id...

In this thesis, a new algorithm to improve automatic target recognition techniques on High Range Resolution (HRR) Profiles is presented and also a number of ways are investigated for target detection using Synthetic Aperture Radar (SAR) images. A new 1-D hybrid Automatic Target Recognition (ATR) algorithm is developed for sequential High Range Resolution (HRR) radar signatures. The proposed hyb...

Expanding radar applications in the area of measuring vibration movements could improve the effectiveness of modern defence systems. The purpose of the vibration measurement is to enrich the information of a targets signature, thus improving the process of target identification and classification. The basic mathematical models of a single receiver radar and a radar that operates as an interfero...

The Sinclair scattering matrix plays a decisive role in radar polarimetry. For realization of a real-time and full polarimetric radar, there are sometechnical problems associated with hardware implementations. Since the FM-CWradar system is suitable for short-range sensing applications, we modified an FM-CWradar to a real-time and polarimetric system by adding a PIN diode-switching circuitry fo...

In this study, a Mexican Hat Wavelet scalogram neural genetic network approach is proposed for signal classification. The Wavelet Scalogram network uses a Levenberg-Marquardt multilayer feedforward neural network-genetic algorithm hybrid structure, and its input layer constitutes the feature extraction part, whereas the hidden layer and output layer constitute the signal classification part. Fr...

This paper discusses the analysis of multistatic micro-Doppler signatures and related features to distinguish and classify unarmed and potentially armed personnel. The application of radar systems to distinguish different motion types has been previously proposed and this work aims to further investigate the applicability of this in more scenarios. Real data have been collected using a multista...

The human micro-Doppler signature is a unique signature caused by the time-varying motion of each point on the human body, which can be used to discriminate humans from other targets exhibiting micro-Doppler, such as vehicles, tanks, helicopters, and even other animals. Classification of targets based on micro-Doppler generally involves joint timefrequency analysis of the radar return coupled w...