A frequency hopping sequential detection technique for in-net coarse acquisition

Abstract

This paper presents results of a study to assess the impact that sequential detection has on the performance of the twolevel frequency hopping coarse acquisition detector. The performance of the two-level detector is computed for the case where the active correlators use sequential detection and compared to the conventional case where fixed correlation times are used. The results show that sequential detection can significantly reduce the amount of hardware required to achieve a specified probability of detection in the presence of AWGN and partial band noise jamming under normal operating conditions; however, when the signal-to-interference level is low andlor the required detection probability is high, sequential detection requires more hardware than ked detection.

Knowledge-Enhanced Compressed Measurements for Detection of Frequency-Hopping Spread Spectrum Signals Based on Task-Specific Information and Deep Neural Networks

“…The posterior subband usage probabilities from the simulations of the adaptive measurement and detection process using the conventional recursive optimization method were collected and used as the training data. The negativity of the conditional differential entropy in Equation ( 13), −h(y k |H 1 , Λ k−1 , Φ k ), was used for the training penalty, which could be approximated as a function of the data to input layer and the result from output layer, i.e., P r (B l |H 1 , Λ k−1 ) and Φ k , according to Equation (14). The number of subbands in Equation ( 14) was taken to be L = 20.…”

“…The non-cooperative detection of the FHSS signal is the first step of the entire signal interception procedure [2]. Although various methods has been rendered since the 1990s (e.g., methods based on time-frequency analysis [3][4][5][6][7][8], wavelet analysis [4,[9][10][11][12][13], auto-correlation analysis [9,[14][15][16], likelihood analysis [17][18][19][20][21], etc. ), energy thresholding is the most commonly used in FHSS signal detection [22][23][24].…”