I.V. Tyapkin1, P.V. Luferchik2, V.N. Tyapkin3, V.N. Ratushnyak4, P.V. Shtro5

1,3,4 Siberian Federal University (Rrasnoyarsk, Russia)

2,5 JSC “Scientific and Production Enterprise Radiosvyaz” (Rrasnoyarsk, Russia)

1 ityapkin@sfu-kras.ru; 2 luferchikp@gmail.com; 3 vtyapkin@sfu-kras.ru; 4 vratushniyk@sfu-kras.ru

Problem statement. Traditional adaptive processing methods in GNSS receiver antenna arrays are implemented at the input signal sampling rate (pre-correlation) [1]. This requires high computational costs and does not account for the fact that after correlation processing, the signal-to-noise ratio (SNR) increases by the product of the bandwidth and the integration time. This paper considers an alternative approach — post-correlation adaptive spatial processing. In this architecture, the signals from each antenna array element first pass through matched filters (correlators) tuned to individual satellite signals. The resulting complex correlation samples (I/Q) are then used to compute adaptive weight coefficients. This approach can significantly reduce the computational burden and effectively suppress interference; however, it requires taking into account changes in the statistical properties of signals after correlation processing. The optimal processing criteria, system architecture, and advantages of this method are analyzed.

Objective. To present and justify an alternative approach to adaptive spatial processing of signals in GNSS receivers with an antenna array, namely post-correlation adaptive processing, which shifts the computation of weight coefficients from the high sampling rate (pre-correlation) to a low rate (post-correlation).

Results. A mathematical justification of post-correlation processing algorithms is provided. A mathematical model of the post-correlation adaptive processing concept is developed. The feasibility of implementing complex algorithms on standard processors is substantiated, paving the way for the creation of compact and low-cost anti-jam navigation devices.

Practical significance. The proposed approach significantly reduces computational costs and hardware requirements. Furthermore, it enables the analysis of the mathematical model of the proposed method, optimal criteria, advantages, limitations, and promising hybrid architectures.

Tyapkin I.V., Luferchik P.V., Tyapkin V.N., Ratushnyak V.N., Shtro P.V. Post-correlation adaptive spatial processing in GNSS-receivers with an antenna array // Radiotekhnika. 2026. V. 90. № 8. P. 33−42. DOI: https://doi.org/10.18127/j00338486-202608-04

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