When receiving a CW signal from a reader, a passive tag rectifies the radio frequency (RF) energy to generate the small amount of energy needed to keep the tag operational, then modulates the signal by changing the absorption characteristics of its antenna and reflects it back to the reader via backscattering [see Figure 1]. RFID systems typically use simple modulation techniques and coding schemes. However, simple modulation techniques are spectrally inefficient and require more RF bandwidth for a given data rate. Before modulation, the data must be encoded to form a continuous stream of information. There are many types of bit coding schemes available, each with its own unique advantages in baseband spectral performance, encoding and decoding complexity, and difficulty in writing data to memory under clocking. Passive tags have unique requirements for the coding scheme used due to the difficulty of achieving practical accuracy of the timing source on the tag board, as well as challenging bandwidth requirements and maximizing RF energy transmission to supply energy to the tag. Finally, some kind of anti-collision protocol is required so that the reader can read all tags within its coverage area.
RFID Testing Overview
Every RFID communication system must pass regulatory requirements and comply with applicable standards. However, today, system optimization separates the winners from the losers in this fast-growing industry. This article discusses the testing challenges facing designers of RFID communication systems: regulatory testing, standards conformance, and optimization.
RFID technology presents several unusual engineering test challenges, such as transient signals, bandwidth-inefficient modulation techniques, and backscatter data. Traditional swept-tuned spectrum analyzers, vector signal analyzers, and oscilloscopes have been used in the development of wireless data links. However, these tools have some shortcomings when used for RFID testing. Swept-tuned spectrum analyzers have difficulty accurately capturing and characterizing transient RF signals. Vector signal analyzers do not actually support spectrally inefficient RFID modulation techniques and special decoding requirements. Fast oscilloscopes have a small measurement dynamic range and do not have modulation and decoding capabilities. Real-time spectrum analyzers (RTSAs) overcome the limitations of these traditional test tools, have optimization for transient signals, and can reliably trigger specific spectrum events in complex real-world spectrum environments through Tektronix's patented frequency mask trigger.
Figure 1: Passive tags rectify and modulate RF energy, then backscatter it to a reader.
Regulatory testing
Every electronic device manufacturer must comply with regulatory standards wherever the device is sold or used. Many countries are modifying regulations to keep up with the unique data link characteristics of passive RFID tags. Most regulatory agencies prohibit CW transmissions from devices except for short-term testing. Passive tags require the reader to send a CW signal to power the tag and modulate it through backscatter. Even though passive tags do not have a typical transmitter, they can still send a modulated signal. However, many regulations do not address modulation based on no transmitter. Various spectrum emission tests are not explicitly included in the RFID standards for readers, but are included in regulations.
Government regulations require controls on the power, frequency, and bandwidth of transmitted signals. These regulations prevent harmful interference and ensure that each transmitter is a friendly neighbor to other users of the frequency band. Making these measurements is challenging with many spectrum analyzers, especially swept spectrum analyzers that are typically used to measure the energy of pulsed signals. The RTSA can analyze the energy characteristics of a complete packet transmission and can directly measure the carrier frequency of a frequency hopping signal without centering the signal in a span. At the touch of a button, the analyzer can identify the modulation of a transient RFID signal and make regulatory measurements of power, frequency, and bandwidth, making the pre-compliance testing process very flexible and convenient [see Figure 2]. Pre-compliance testing helps ensure that the product passes compliance testing the first time without the need for redesign and retesting.
Figure 2: Pre-compliance test process [page]
Standards Conformance
The requirement for reliable interaction between readers and tags is consistent with industry standards such as the ISO 18000-6 Type C specification. This requirement adds many tests beyond the basic requirements to meet government spectrum emission requirements. RF conformance testing is critical to help ensure reliable interoperability between tags and readers.
Pre-programmed measurements can reduce the settling time required to perform these tests. For example, an important measurement for ISO18000-6 Type C is the turn-on time and turn-off time. The carrier energy rise time must be fast enough to ensure that the tag collects enough energy to operate properly. The signal must also reach a steady state quickly. At the end of the transmission, the carrier energy fall time must be fast enough to prevent interference with other transmissions [see Figure 3].
Figure 3: At the end of a transmission, the carrier energy must fall off quickly enough to prevent other transmissions from interfering.
Some RFID devices use proprietary communication schemes that are optimized for specific applications. In these cases, engineers need an analyzer that can provide multiple modulation and coding schemes that can be programmed to adjust for the specific format used.
optimization
Once the basic specifications are met, it is important to optimize the performance of RFID products to gain a competitive advantage in a specific market space. Performance indicators include the read speed of the tag, the ability of the tag to operate in a multi-reader environment, and the distance between the tag and the reader. In consumer applications, the communication speed between the tag and the reader directly affects user satisfaction. For example, the public transportation industry used RFID only after the read time was reduced from 5 seconds to less than half a second before it was widely accepted. In industrial applications, speed means throughput: the higher the throughput, the more efficient the use of financial and human resources. Since passive tags obtain the energy they need to operate normally from the RFID reader, multiple readers may cause the tag to try to respond to every reader that asks it. In the case of multiple readers, some kind of anti-collision protocol needs to be used to improve the throughput of the system. Finally, to maximize the read range of the tag, the carrier to noise requirement should be minimized, but this may conflict with the need to prevent the tag from running out of energy by minimizing the carrier's inactivity time. These optimization measures pose challenges to engineers and measurement equipment.
Let's look at a specific example - optimizing communication speed, also known as turnaround time TAT (hereafter referred to as TAT). Available RF energy, path fading, and altered symbol rates can increase the time it takes a tag to respond to a reader query. The slower the response, the longer it takes to read multiple tags. Quickly measuring TAT is essential to optimizing the speed of an RFID system.
Figure 4: TAT can be easily measured using an RTSA.
TAT can be easily measured using an RTSA [see Figure 4]. First, a frequency mask trigger is installed to capture the entire interrogation between the tag and the reader. The RTSA’s power vs. time view allows the user to watch the entire transmission. The TAT for a half-duplex system is considered to be the time between the end of one downlink transmission (from reader to tag) and the beginning of the next downlink transmission. By placing one delta marker at the end of the tag interrogation and a second delta marker at the end of the backscatter or the beginning of the next reader data transmission, the TAT can be accurately measured. Maintaining the shortest TAT over a wide range of downlink conditions will help maximize system throughput.
The RTSA can also demodulate the symbols or bits associated with the tag query. The user simply selects the appropriate RFID standard, modulation type, and decoding format. The analyzer automatically detects and displays the link bit rate. To further increase the engineer's productivity, the recovered data symbols are color-coded based on function. The RTSA automatically identifies the leading symbol and colors those symbols with $. This makes it easy to identify the actual data payload and compare it to the known value.
Conclusion
The RFID industry encompasses a vast array of technologies and applications, many of which differ from typical communication links. Engineers need tools that enable them to quickly and easily perform regulatory testing, standards compliance, and optimization measurements.
The RSA3408A is a tool that meets these needs, supporting multiple RFID international standards, time-correlated multi-domain measurements, customized RFID communication systems, demodulation of multiple RFID signals, and symbol decoding. The instrument greatly improves engineering efficiency while shortening the time to market. Whether it is to meet government spectrum regulations, ensure that tags or readers comply with specific communication standards, or debug a problem encountered during development, the RTSA is a unique tool for analyzing RFID signals emitted by readers and tags.
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