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LPI Detection of Frequency-Hopping Signals Using Autocorrelation Techniques

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2 Author(s)
Polydoros, A. ; Axiomatrix Corp., Los Angeles, CA, USA ; Kai Woo

Interception of frequency-hopping (FH) waveforms is commonly achieved by using a set of radiometers (energy detectors) that individually energy-detect subbands of the total spread bandwidth of the suspected transmission. In this paper, a scheme is analyzed which can improve the detection performance of FH waveforms in wide-band additive Gaussian noise (AWGN) using samples from the autocorrelation domain. It is shown that, under fairly general operational assumptions, an appreciable gain in decision signal-to-noise ratio (SNR) can be achieved over that of the radiometer. This gain is proportional to \gamma _{H}^{2} where \gamma _{H} is the hop SNR. The proposed algorithm, albeit inferior to the optimal likelihood-ratio test, has the advantage of reduced complexity. The overall approach has been motivated by the recent implementational feasibility of large time-bandwidth-product real-time correlators such as surface-acoustic wave devices (SAWD's).

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Selected Areas in Communications, IEEE Journal on  (Volume:3 ,  Issue: 5 )