Space-Time Adaptive Processing as a Solution for Mitigating Interference Using Spatially-Distributed Antenna Arrays

Abstract

Antenna arrays and spatial processing techniques are among the most effective countermeasures against interference. Here, we demonstrate a new array concept consisting of spatially-distributed subarrays that are small enough to fit inside the non-metallic parts of an automobile. This will facilitate concealed installation of these devices in bumpers or side mirrors, which is a strict requirement of the industry and preferred by the customers. Using beamforming algorithms, this array was proven to be robust against jammers in the L1 band. The large distances between the individual antenna elements resulted in a non-negligible baseband delay that violated the narrowband assumption and increased with bandwidth. Hence, this paper demonstrates the influence of a jammer in the L5 band. Space-time adaptive processing that allows for compensation of the delays was introduced and analyzed. Improvements in interference mitigation capabilities were assessed and compared to those of pure spatial state-of-the-art implementation. Real-life measurement data was used to ensure realistic results.

Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments

“…The essence of this method is to ensure the linearity of the phase by constraining the coefficients of the FIR filter. However, the imprecise prior information caused by the direction errors will result in the mismatch of the steering vector, which further deteriorates the performance of STAP method [21]. Therefore, it is of great significance to study a robust STAP method that can deal with steering vector errors.…”