Joint adaptive beamforming based on distributed moving platforms

Shen, Q., Liu, W. orcid.org/0000-0003-2968-2888, Wang, L. et al. (1 more author) (2019) Joint adaptive beamforming based on distributed moving platforms. In: 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 19-21 Nov 2018, Shanghai, China. IEEE .

Abstract

A distributed sensor array network consisting of sub-arrays with arbitrary locations and rotation angles placed on unmanned aerial vehicle (UAV) platforms is studied, where narrowband electro-magnetic waves are sent out by a transmitter, and the echo signals reflected from the targets are then received by the distributed UAV system. Based on this model, a joint reference signal based beamformer is proposed, leading to improved performance by exploiting the collected information across different sub-arrays simultaneously. Simulation results show that this novel beamformer is capable of extracting the signals of interest while suppressing interfering signals, and a lower mean square error (MSE) and higher output signal to interference plus noise ratio (SINR) are achieved compared with a regular reference signal based beamformer performed using a single sub-array.

Metadata

Authors/Creators:

Shen, Q.
Liu, W. https://orcid.org/0000-0003-2968-2888
Wang, L.
Liu, Y.

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Keywords:

Adaptive beamforming; distributed sensor network; unmanned aerial vehicle (UAV); reference signal based beamformer

Dates: