1. A Reflection Measurement System With High Accuracy Using Binary Coded Signals
- Author
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Gordon Notzon, Michael Vogt, Robert Storch, and Thomas Musch
- Subjects
Computer science ,Dynamic range ,System of measurement ,Acoustics ,020208 electrical & electronic engineering ,02 engineering and technology ,Laser ,Network analyzer (electrical) ,law.invention ,Reflection (mathematics) ,law ,0202 electrical engineering, electronic engineering, information engineering ,Measurement uncertainty ,Device under test ,Electrical and Electronic Engineering ,Reflection coefficient ,Instrumentation ,Impulse response - Abstract
The measurement of the electromagnetic reflection characteristics of a device under test (DUT) is of interest in a large variety of applications. For this task, the established low-cost approach of using pulse-shaped excitation signals is more and more replaced by employing continuous binary coded excitation signals. The reason behind this is that reflection measurement systems with continuous signals offer a larger signal-to-noise ratio (SNR), which allows for a larger dynamic range compared to pulsed systems for the same measurement time. However, a correlator is needed to access the impulse response function (IRF) of the DUT. In this contribution, a reflection measurement system is presented using a hybrid correlation approach. In the latter, the correlation is performed using a combination of a hardware and a software correlator. The hardware of the developed measurement system has been optimized to achieve a high dynamic range and a high measurement accuracy. A demonstrator system has been realized using the so-called almost perfect auto-correlation sequences (APASs) with a chip clock of 5Gchips/s. With the optimized hardware, a dynamic range of 82 dB has been achieved. The measurement accuracy has been validated by means of distance measurements versus a high accuracy laser reference system achieving a maximum error of 25 ${\mu }\text{m}$ . Furthermore, the measured reflection coefficient of a low-pass filter has been compared with the results obtained with a vector network analyzer (VNA).
- Published
- 2020
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