Employing the autoregressive (AR) technique and the principle of displaced phase centre antenna (DPCA) we construct an optimum adaptive DPCA processor for moving target detection from airborne phased arrary radar data collected under nonDPCA conditions. It is fundamentally different from the existing adaptive DPCA which is not optimum. The number of range samples it needs to estimate its parame...

In this paper a real-time task model of multifunction phased array radars is built, and a novel scheduling algorithm is proposed. This algorithm takes the priority of task’s function mode and deadline into account synthetically, and can adapt well to different load conditions. Based on the task model, the algorithm can achieve the variety of scheduler’s time load in a real-time fashion and adju...

Introduction: Understanding the relationship between ocean surface waves and the radar backscatter they generate is key to the development of new radar-based techniques to measure ocean parameters, such as wave height and current speed and direction, of importance to both the Navy and the civilian sector. This knowledge is also needed to improve the Navy’s ability to distinguish between signals...

Abstract: The introduction of high-speed analog-to-digital converters has resulted in many of the traditional front-end and sub-array combining functions of multi-function, phased-array radar systems being performed in the digital rather than in the analog domain. Due to the intense amount of processing that is required, many of these functions had to be realized in hardware. This was originall...

Since its invention, phased array has been extensively applied in both military and civil areas. The applications include target detecting and tracking, space probe communication, broadcasting, human-machine interfaces, and remote sensing. Although the phased array applications show a broad range of potential market, there are some limitations of phased array's development: high cost, complex s...

The monopulse angle measuring technique is widely adopted in radar systems due to its simplicity and speed in accurately acquiring a target's angle. However, in a spatial adaptive array, beam distortion, due to adaptive beamforming, can result in serious deterioration of monopulse performance. In this paper, a novel constrained monopulse angle measuring algorithm is proposed for spatial adaptiv...

This document is disseminated under the sponsorship of the Department of Transportation, Federal Aviation Administration, in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof. The U.S. Federal Aviation Administration is deploying Automatic Dependent Surveillance-Broadcast (ADS-B) to provide next-generation surveillance derive...

A neural extended Kalman filter algorithm was embedded in an interacting multiple model architecture for target tracking. The neural extended Kalman filter algorithm is used to improve motion model prediction during maneuvers. With a better target motion mode, noise reduction can be achieved through a maneuver. Unlike the interacting multiple model architecture which, uses a high process noise ...