This thesis is concerned with methods to facilitate automatic target recognition using images generated from a group of associated radar systems. Target recognition algorithms require access to a database of previously recorded or synthesized radar images for the targets of interest, or a database of features based on those images. However, the resolution of a new image acquired under non-ideal...

This paper considers the classification of radar target using Backscatter Doppler signature of moving object. Classification performance evaluated by the integrated Bispectrum based technique of feature extraction and compared it with Cepstrum based feature extraction technique. Classifier performance is tested by GMM (Gaussian Mixture Model) and ML (Maximal Likelihood) decision making method. ...

The work in this paper explores the discriminatory power of target outline description features in conjunction with Support Vector Machine (SVM) based classification committees, when attempting to recognize a variety of targets from Synthetic Aperture Radar (SAR) images. In specific, approximate target outlines are first determined from SAR images via a simple mathematical morphology-based segm...

Today multiple multi-sensor airborne surveillance systems are available which comprises of primary radar and secondary surveillance radar as the active sensor on board. The electronics and communication support measure system (ECSMS) will aid in identification, detection and classification of targets. These systems will detect, identify, classify the different threats present in the surveillanc...

Space-time coding (STC) has been shown to play a key role in the design of MIMO radars with closely spaced antennas. Multiple-input–multiple-output (MIMO) radar is emerging technology for target detection, parameter identification, and target classification due to diversity of waveform and perspective. First, it turns out that a joint waveform optimization problem can be decoupled into a set of...

Abstract This paper develops and compares two fuzzy logic based and a traditional rule-based pattern recognition system, which perform target recognition with data from a typical range and doppler resolving radar. The parameters used by the pattern recognition systems are target altitude, velocity, range from nearest base, and radar cross section. The pattern recognition systems identify four c...

In this paper, we describe an operational pulse Doppler radar imaging system for indoor target localization and classification, and show how a target’s micro-Doppler signature (μDS) can be processed when ultra-wideband (UWB) waveforms are employed. Unlike narrowband radars where time-frequency signal representations can be applied to reveal the target time-Doppler frequency signatures, the UWB ...

In through-the-wall radar and urban sensing applications, detection, localization, and classification of targets are highly desirable. The presence of the targets inside buildings, and in close proximity of walls, floors, and ceilings, leads to a rich multipath environment. Multipaths can introduce false targets, thereby degrading target detection, localization, and classification performances....