Abstract

Polarization-sensitive array (PSA) can sense satellite signals from multiple dimensions and separate signals from interference according to various characteristics. Hence, the use of PSA improves the interference rejection capability of the global navigation satellite system (GNSS). Whereas it also brings a significant increase in computational complexity as there are more dimensions of array signal processing. Therefore, it is urgent to seek a method to employ fewer radiofrequency (RF) front-ends and antennas while still achieving superior anti-interference performance. In this paper, we investigate the influence of PSA configuration on interference suppression performance and propose an RF front-end optimal selection scheme for reconfigurable anti-jamming PSA with application to GNSS. Combining adaptive array processing algorithm and RF front-end selection strategy, we formulate the expression of the effective carrier to noise ratio (CNR) to analyze the performance enhancement generated by PSA reconfiguration. An approach is presented to solve the upper bound of the effective CNR to plot the trade-off curve between performance and cost, which can guide the selection of the optimal number of RF front-ends. Then another method is used to acquire the layout of the chosen optimal RF front-ends that can maximize the effective CNR. Numerical results illustrate the effectiveness and high efficiency of the proposed PSA reconfiguration scheme.

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