Ming-Shih Huang’s research while affiliated with Pennsylvania State University and other places

The centroid of three most closely spaced intersections of constant-range loci is conventionally used as trilateration estimate without rigorous justification. In this paper, we address the quality of trilateration intersections through range scaling factors. Several triangle centres, including centroid, incentre, Lemoine point, and Fermat point, are discussed in detail. Lemoine point (LP) is proposed as the best trilateration estimator thanks to the desired property that the total distance to three triangle edges is minimized. It is demonstrated through simulation that LP outperforms centroid localization without additional computational load. In addition, severe trilateration scenarios such as two-intersection cases are considered in this paper, and enhanced trilateration algorithms are proposed.

As the Automatic Dependent Surveillance-Broadcast (ADS-B) system has gained wide acceptance, additional exploitations of the radioed satellite-based information are topics of current interest. One such opportunity includes the augmentation of the communication ADS-B signal with a random biphase modulation for concurrent use as a radar signal. This paper addresses the formulation and analysis of a suitable noncooperative multitarget tracking method for the ADS-B radar system using radar ranging techniques and particle filter algorithms. In addition, the low-update-rate measurement due to the ADS-B system specification is discussed in order to provide acceptable estimation results. Simulation results show satisfactory tracking capability up to several kilometers with acceptable accuracy.

Rapidly increasing growth and demand in various Unmanned Aircraft Systems (UAS) have pushed governmental regulation development and numerous technology research activities toward integrating unmanned and manned aircraft into the same civil airspace. Safety of other airspace users is the primary concern; thus, with the introduction of UAS into the National Airspace System (NAS), a key issue to overcome is the risk of a collision with manned aircraft. The challenge of UAV integration is global. In this paper, the authors present the operational concept and benefits of an airborne collision system for UAS based on a modified automatic dependent surveillance — broadcast (ADS-B) system, a promising technology under development globally. With the affordable Universal Access Transceiver (UAT) Beacon Radio developed by The MITRE Corporation and the hybrid estimation approach for resource-limited UAS, the ADS-B radar concept appears to be an economically viable solution to detect both cooperative and non-cooperative targets using a single avionics package.

Rapidly increasing growth and demand in various Unmanned Aircraft Systems (UAS) have pushed governmental regulation development and numerous technology research activities toward integrating unmanned and manned aircraft into the same civil airspace. Safety of other airspace users is the primary concern; thus, with the introduction of UAS into the National Airspace System (NAS), a key issue to overcome is the risk of a collision with manned aircraft. The challenge of UAV integration is global. In this paper, the authors present the operational concept and benefits of an airborne collision system for UAS based on a modified automatic dependent surveillance – broadcast (ADSB) system, a promising technology under development globally. With the affordable Universal Access Transceiver (UAT) Beacon Radio developed by The MITRE Corporation and the hybrid estimation approach for resource-limited UAS, the ADS-B radar concept appears to be an economically viable solution to detect both cooperative and noncooperative targets using a single avionics package.

In this paper we present a new principle for localization of backscatter RFID tags. A new algorithm comparable to synthetic aperture radar on a non-uniform trajectory is proposed. The performance is verified with measurement data acquired by a multi sensor platform which comprises radar, imaging and RFID. The identified RFID transponder positions are presented with augmented-reality visualization. The new radar approach called SAR-like is shown to have similar performance as SAR at an apparently lower computational cost.

In this paper we present a multi sensor concept for localization and augmented-reality visualization of backscatter RFID tags. The sensor data of a camera and a RFID FMCW reader system are combined based on a synthetic aperture radar principle. The system enables the localization of tagged goods without the use of any installed infrastructure. We integrate a FMCW RFID reader and a camera system into a handheld device. While the handheld device is moved around, radar measurements as well as images of the surrounding area are taken at a number of locations. Thus, a synthetic aperture is generated and the position of the tags is calculated based on a SAR localization algorithm. Based on the imagery of the camera the user receives an augmented visual impression of where to find the RFID transponders.