This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

Most numerical integration techniques consist of approximating the integrand by a polynomial in a region or regions and then integrating the polynomial exactly. Often a complicated integrand can be factored into a non-negative ''weight'' function and another function better approximated by a polynomial, thus $\int_{a}^{b} g(t)dt = \int_{a}^{b} \omega (t)f(t)dt \approx \sum_{i=1}^{N} w_i f(t_i)$. Hopefully, the quadrature rule ${\{w_j, t_j\}}_{j=1}^{N}$ corresponding to the weight function $\omega$(t) is available in tabulated form, but more likely it is not. We present here two algorithms for generating the Gaussian quadrature rule defined by the weight function when: a) the three term recurrence relation is known for the orthogonal polynomials generated by $\omega$(t), and b) the moments of the weight function are known or can be calculated.

Calculation of Gauss quadrature rules.

Remote sensing with radar is typically an ill-posed linear inverse problem: a scene is to be inferred from limited measurements of scattered electric fields. Parsimonious models provide a compressed representation of the unknown scene and offer a means for regularizing the inversion task. The emerging field of compressed sensing combines nonlinear reconstruction algorithms and pseudorandom linear measurements to provide reconstruction guarantees for sparse solutions to linear inverse problems. This paper surveys the use of sparse reconstruction algorithms and randomized measurement strategies in radar processing. Although the two themes have a long history in radar literature, the accessible framework provided by compressed sensing illuminates the impact of joining these themes. Potential future directions are conjectured both for extension of theory motivated by practice and for modification of practice based on theoretical insights.

https://vpa.sabanciuniv.edu/vpadb/findfile_get_anonymous_paper.php?f=2011

Sparsity and Compressed Sensing in Radar Imaging

Physical layer security (PHY-security) takes the advantages of channel randomness nature of transmission media to achieve communication confidentiality and authentication. Wiretap coding and signal processing technologies are expected to play vital roles in this new security mechanism. PHY-security has attracted a lot of attention due to its unique features and the fact that our daily life relies heavily on wireless communications for sensitive and private information transmissions. Compared to conventional cryptography that works to ensure all involved entities to load proper and authenticated cryptographic information, PHY-security technologies perform security functions without considering about how those security protocols are executed. In other words, it does not require to implement any extra security schemes or algorithms on other layers above the physical layer. This survey introduces the fundamental theories of PHY-security, covering confidentiality and authentication, and provides an overview on the state-of-the-art works on PHY-security technologies that can provide secure communications in wireless systems, along with the discussions on challenges and their proposed solutions. Furthermore, at the end of this paper, the open issues are identified as our future research directions.

Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges

Thank you very much for downloading spotlight synthetic aperture radar signal processing algorithms. Maybe you have knowledge that, people have search numerous times for their favorite books like this spotlight synthetic aperture radar signal processing algorithms, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful virus inside their laptop.

Spotlight Synthetic Aperture Radar Signal Processing Algorithms

This paper develops three-dimensional (3D), bistatic parametric models that describe canonical radar scattering responses of several geometric objects. These models find use in inverse scattering-based processing of high-frequency radar returns. Canonical feature models are useful for extracting geometry from synthetic-aperture radar (SAR) scattering measurements and as feature primitives for automatic target recognition (ATR) and scene visualization. Previous work has considered monostatic feature models for two-dimensional (2D) radar processing; we extend this work to consider bistatic and 3D radar apertures. In the work presented here, we generalize geometric theory of diffraction (GTD) solutions for several scattering mechanisms in a plane. Products of these planar mechanisms in azimuth and elevation are used to produce 3D bistatic scattering models for six canonical shapes: a rectangular plate, dihedral, trihedral, cylinder, top-hat, and sphere. The derived models are characterized by a small number of parameters, and are shown to agree with results obtained from high-frequency, asymptotic scattering simulations.

Canonical Scattering Feature Models for 3D and Bistatic SAR

Unauthorized network access and spoofing attacks at wireless access points (WAPs) have been traditionally addressed using bit-centric security measures and remain a major information technology security concern. This has been recently addressed using RF fingerprinting methods within the physical layer to augment WAP security. This paper extends the RF fingerprinting knowledge base by: 1) identifying and removing less-relevant features through dimensional reduction analysis (DRA) and 2) providing a first look assessment of device identification (ID) verification that enables the detection of rogue devices attempting to gain network access by presenting false bit-level credentials of authorized devices. DRA benefits and rogue device rejection performance are demonstrated using discrete Gabor transform features extracted from experimentally collected orthogonal frequency division multiplexing-based wireless fidelity (WiFi) and worldwide interoperability for microwave access (WiMAX) signals. Relative to empirically selected full-dimensional feature sets, performance using DRA-reduced feature sets containing only 10% of the highest ranked features (90% reduction), includes: 1) maintaining desired device classification accuracy and 2) improving authorized device ID verification for both WiFi and WiMAX signals. Reliable burst-by-burst rogue device rejection of better than 93% is achieved for 72 unique spoofing attacks and improvement to 100% is demonstrated when an accurate sample of the overall device population is employed. DRA-reduced feature set efficiency is reflected in DRA models requiring only one-tenth the number of features and processing time.

Authorized and Rogue Device Discrimination Using Dimensionally Reduced RF-DNA Fingerprints

Wide-angle SAR presents an opportunity to explore new methods for CV classification. Polarization features are of particular interest and various examples of wide-aperture images using flight-collected and simulated data are shown to emphasize how odd and even reflectors are revealed in the imagery. Using the well-known frequency parameter from high-frequency scattering models and the Krogager polarization decomposition, wide-angle polarimetric SAR imagery is attributed with a basis of ASC primitive targets. We observe trends when extracting ASCs from 2D images and study the behavior for 10 civilian vehicles using the AFRL Civilian Vehicle Data Dome. Passenger cars categorized as the sedan class tended to exhibit scattering by cylinders, horizontal edges, and horizontal dihedrals at low elevation angle (30°) but primarily showed horizontal cylinders and horizontal dihedrals for the case of high elevation angle (60°). Likewise, the dominant scatterers for the SUV class were horizontal cylinders and horizontal edges for 30° elevation and primarily horizontal cylinders and dihedrals for 60° elevation. These results suggest that there are noticeable differences between the classes when viewed as primitives in the joint frequency/polarization/wide-angle SAR feature space. Thus, rethinking vehicle classification to include efficient primitive type extraction during image formation may lead to new, near real-time vehicle classification algorithms.

Rethinking vehicle classification with wide-angle polarimetric SAR

We propose an algorithm for extracting multiple geometric scattering features from synthetic aperture radar (SAR) phase history collected over arbitrary, 3D monostatic or bistatic apertures. The algorithm input is complex-valued phase history; the output is a list of features and corresponding parameter estimates. We fit to the data parametric models for six canonical features. The feature extraction problem includes model order selection, shape classification, and parameter estimation. Examples include densely-sampled and sparse apertures for monostatic and bistatic scenarios.

Synthetic Aperture Radar 3D Feature Extraction for Arbitrary Flight Paths

Previous research has shown communication waveforms have potential for passive and active radar applications The potential of a signal is typically characterized using the ambiguity function This paper seeks to summarize the frequency division duplex (FDD) long term evolution (LTE) downlink (DL) signal structure and illustrate its effect on the signal's self and cross ambiguity functions In addition, performance limitations resulting from the FDD LTE DL signal structure are predicted The variability of system performance limitations is considered for variable FDD LTE DL signal parameters Lastly, simulated range profiles are produced using a simulated FDD LTE DL signal illustrating the derived results

Julie Ann Jackson

Papers

Canonical Scattering Feature Models for 3D and Bistatic SAR

Authorized and Rogue Device Discrimination Using Dimensionally Reduced RF-DNA Fingerprints

Rethinking vehicle classification with wide-angle polarimetric SAR

Synthetic Aperture Radar 3D Feature Extraction for Arbitrary Flight Paths

Analysis of an LTE waveform for radar applications