Abstract
The performance of a fast Fourier transform (FFT)-based electronic warfare (EW) receiver depends on the size of the FFT. An EW receiver using a long FFT size has a higher sensitivity and finer frequency resolution. However, its time domain resolution suffers, thus creating a less accurate estimate on the signal's time domain characteristics, such as time of arrival (TOA) and pulse width (PW). This is especially true for short signals. On the other hand, an EW receiver using a short FFT size can better determine the signal's PW and TOA but might miss long but weak signals and have coarse frequency resolution. One way to solve this issue is to create an EW receiver with multiple FFT sizes and determine signal characteristics based on the outcomes of the FFT with different frame sizes. However, it is not a trivial task to combine signal characteristic estimates generated with different FFT frame sizes and this chapter is dedicated to addressing this task. In this chapter an EW receiver encoder algorithm based on multiple FFT frame sizes is presented.
Published Version
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