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File name: | 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Appl [preview 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Appl] |
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Model: | 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Appl 🔎 |
Original: | 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Appl 🔎 |
Descr: | Agilent 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Application Note c20140815 [17].pdf |
Group: | Electronics > Other |
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File name 5991-4317EN Understanding and Applying Probability of Intercept In Real-Time Spectrum Analysis- Appl Keysight Technologies Understanding and Applying Probability of Intercept in Real-time Spectrum Analysis Application Note Introduction As today's wireless signals become more complex, the process of analyzing and understanding those signals becomes more difficult. Examples include signals that have some combination of highly agile carrier frequencies, digital modulation, time-division multiplexing and burst shapes. In addition, more devices and systems are using the same frequency bands. As a result, it's becoming increasingly difficult to identify and characterize interference and signal errors, especially when they come from transient signals. When chasing an elusive signal, several attributes are important: when it occurs, how long it lasts, where it occurs within the spectrum, and how large or small it is. Determining these attributes requires a signal analyzer capable of performing real-time spectrum analysis (RTSA), real-time data capture, or both. Real- time spectrum analysis is crucial for detecting, observing and identifying transient signals. Real-time data capture enables detailed post-processing analysis, including demodulation. The first step is detecting the transient signal, and the main question in RTSA is, "Which signals can I see?" The key specification is probability of intercept (POI), which is actually a statistical property (see the sidebar on page 2). In the specifications for a signal analyzer, POI is often expressed as the minimum duration of a signal that can be observed with 100 percent probability--and accurately measured--if that signal is a specific amount above the instrument's noise floor. As an example, a Keysight Technologies, Inc. PXA X-Series signal analyzer equipped with 160-MHz analysis bandwidth and real-time spectrum analyzer capability (both are optional) can detect a signal as short as 5 |
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