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On the Lossless Array Signal Dimension Reduction for Dynamic Localization Systems

Network localization systems based on antenna arrays provide high-accuracy positions. With the increase of antenna number, higher positioning accuracy is achievable, but more computation and communication resources are required at the same time. In order to reduce the computation and communication resource consumption, the element space signal is expected to be compressed without localization accuracy degeneration. In this paper, we consider the array signal dimension reduction for dynamic localization systems, which, to the best of our knowledge, has not been investigated before. Based on the performance limits of beamspace localization, information lossless beamspace schemes are proposed. The effects of the clock asynchronism, the Doppler shift, and the signal bandwidth on proposed schemes are presented. To deal with the parameter uncertainties, a heuristic robust method is proposed and simulation results validate the effectiveness. Our work reveals the low-dimensional property of array signals under dynamic localization scenarios.