In this paper, we address the problem of multiple frequency-hopping (FH) signal parame-ters estimation in the presence of random missing ob-servations. A space-time matrix with random miss-ing observations is acquired by a uniform linear ar-ray (ULA). We exploit the inherent incomplete data processing capability of atomic norm soft threshold-ing (AST) to analyze the space-time matrix and com-plete the accurate estimation of the hopping time and frequency of the received FH signals. The hopping time is obtained by the sudden changes of the spatial information, which is implemented as the boundary to divide the time domain signal so that each segment of the signal is a superposition of time-invariant multiple components. Then, the frequency of multiple signal components can be estimated precisely by AST within each segment. After obtaining the above two parame-ters of the hopping time and the frequency of signals, the direction of arrival (DOA) can be directly calcu-lated by them, and the network sorting can be real-ized. Results of simulation show that the proposed method is superior to the existing technology. Even when a large portion of data observations is missing, as the number of array elements increases, the proposed method still achieves acceptable accuracy of multi-FH signal parameters estimation.

College of Communications and Engineering,Army Engineering University,Nanjing 210007,China

[1]Hongbin Wang;Bangning Zhang;Heng Wang;Binbin Wu;Daoxing Guo-.Parameter Estimation of Multiple Frequency-Hopping Signals Based on Space-Time-Frequency Analysis by Atomic Norm Soft Thresholding with Missing Observations)[J].中国通信（英文版）,2022(07):135-151

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