This paper considers the problem of blind localization and tracking of multiple frequency-hopped spread-spectrum (FHSS) signals using an antenna array, without knowledge of hopping patterns. We first identify a hop-free subset of data by discarding high-entropy spectral slices from the spectrogram, then perform low-rank decomposition of four-way data generated by capitalizing on both spatial and temporal shift invariance for high resolution Direction of Arrival (DOA) recovery. After MMSE beam-forming, a dynamic programming approach is developed for joint ML estimation of signal frequencies and hopping instants for signal user tracking.
|Original language||English (US)|
|Number of pages||5|
|Journal||Conference Record of the Asilomar Conference on Signals, Systems and Computers|
|State||Published - Dec 1 2001|
|Event||35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States|
Duration: Nov 4 2001 → Nov 7 2001