In this paper, the ICA (independent component analysis) technique is applied to PCA (principal component analysis) based radar target recognition. The goal is to identify the similarity between the unknown and known targets. The RCS (radar cross section) signals are collected and then processed to serve as the features for target recognition. Initially, the RCS data from targets are collected b...

The feasibility of using GPS as a bistatic radar illuminator for the purposes of air target detection is examined. The power budget analysis is first performed assuming the use of a single satellite, but is followed by a discussion of the expected improvements when multiple satellites are employed. The analysis includes the effect of GPS signal strength dynamic range, also known as the ‘near-fa...

This paper studies a multi-target localization method for distributed Multiple-input Multiple-output (MIMO) radar. We assume that the sets of time delays have already been estimated by a pre-processing algorithm. Based on the assumption, we propose a search pairing method based on ellipse model to locate the multi-target. Simulation results demonstrate that the proposed method effectively accom...

ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...

Evading the enemy radars plays a crucial role in today’s warfare. All weapon systems are designed with the aim of minimising their radar signature or Radar Cross Section (RCS). It would also be desirable to know the RCS of any potential target. However, RCS values are not publicly available. This paper examines the concept of estimating the RCS of a complex object, such as an aircraft, on the b...

This work addresses the range in which accuracy of object identification is enhanced regardless radar parameters. We compute cross-section (RCS) conducting objects free space and random media. use beam wave incidence postulate its coherency with a finite width around an located far field. Accordingly, we examine impact parameters on RCS, where these include incident angle, target size complexit...

The scattering enhancement phenomenon is studied by numerically analyzing a bistatic radar cross-section (RCS) of a circular cylinder in a strong continuous random medium, under the condition that the spatial coherence length of the incident waves around the cylinder is larger enough than the size of the cylinder. The numerical analysis shows such a new result that the scattering is not enhance...

Correlation between Interferometric Synthetic Aperture Radar (InSAR) pairs is essential for accurate interferometric phase estimation and digital elevation model (DEM) reconstruction. In this paper, a SAR simulator capable of generating Rayleigh and K-distributed terrain clutter and estimating correlation between InSAR passes will be presented. Furthermore, this simulator will be used to study ...

The feasibility of using GPS as a bistatic radar illuminator for the purposes of air target detection is examined. The power budget analysis is first performed assuming the use of a single satellite, but is followed by a discussion of the expected improvements when multiple satellites are employed. The analysis includes the effect of GPS signal strength dynamic range, also known as the ‘near-fa...

Classification of objects based on Radar Cross Section (RCS) has several military and civilian applications. Feature extraction is an important step in the classification process. The resonances (features) of an object are unique and are independent of the look angles (aspect). A database created with the resonances of known radar targets help in the classification of targets. A method to extra...