Title

Orthogonal Frequency Coded Saw Sensors For Aerospace Shm Applications

Keywords

Orthogonal frequency code (OFC); structural health monitoring; surface acoustic wave (SAW) detector

Abstract

—National Aeronautics and Space Administration (NASA) aeronautical programs require structural health monitoring (SHM) to ensure the safety of the crew and the vehicles. Future SHM sensors need to be small, lightweight, inexpensive, and wireless. Orthogonal frequency coded (OFC) surface acoustic wave (SAW) reflectors and transducers have been recently introduced for use in communication, as well as in sensor and radio-frequency identification (RFID) tag applications (Malocha et al., 2004, Puccio et al., 2004). The OFC SAW technology approach has been investigated by NASA for possible inclusion in ground, space flight, and space exploration sensor applications. In general, SAW technology has advantages over other potentially competitive technologies, because the devices can operate in ranges from cryogenic to furnace temperature. SAW devices can also be small, rugged, passive, wireless, and radiation hard and can operate with variable frequency and bandwidth. SAW sensor embodiments can provide onboard device sensor integration or can provide integration with an external sensor that uses the SAWdevice for encoding the sensor information and transmission to the receiver. SAW OFC device technology can provide RFID tags and sensors with low loss, large operating temperatures, and a multiuse sensor platform. This paper will discuss the key parameters for OFC device design, which includes reflector and transducer design, coding diversity approaches, and insertion loss considerations. Examples of several OFC device sensors and RFID tags are presented to show the current state-of-the-art performance for several NASA applications. Projections for future sensor and RFID tag platform performance are discussed, along with some of the current challenges and issues of the technology. © 2009, IEEE. All rights reserved.

Publication Date

1-1-2009

Publication Title

IEEE Sensors Journal

Volume

9

Issue

11

Number of Pages

1546-1556

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/JSEN.2009.2027403

Socpus ID

85008014376 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85008014376

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