Canceling Strong Narrowband Main-beam Interference
نویسنده
چکیده
In a generalized sidelobe canceler using normalized least mean square adaptation, interference coming in on sidelobes can be mitigated when using a small adaptation stepsize. In that case, any interference arriving from the main beam look direction will be viewed as a desirable signal, and therefore passed on. Previous studies have identified narrowband interference scenarios where interference mitigation is enhanced by non-Wiener effects in normalized least mean square adaptive filtering using existing filter structures. In this paper we seek to further extend narrowband interference mitigation by expanding the adaptive filtering structures to better utilize the information responsible for non-Wiener effects. While in the generalized sidelobe canceler adaptation takes place in the spatial domain of auxiliary beams, here we seek to incorporate the temporal dimension as well. The latter will be applied to the auxiliary beams and the main beam, or to the error signal of the generalized sidelobe canceler. The performance of the space-time adaptive processor operating on the temporal signals from the main beam and auxiliary beams simultaneously turns out to be comparable to that of a temporal smoothing stage operating on the generalized sidelobe canceler error.
منابع مشابه
Beamforming and Interference Canceling With Very Large Wideband Arrays
Future radio telescopes are envisioned to be beamforming arrays containing hundreds to millions of elements distributed over thousands of km2, with bandwidths that are 10% or more of the RF center frequency. It is awkward to analyze such systems using traditional narrowband beamforming theory. This paper presents a frequency-domain model that includes relevant features such as true time delay, ...
متن کاملNonlinear Dynamic Effects of Adaptive Filters in Narrowband Interference-Dominated Environments
When applying certain adaptive algorithms, such as the popular LMS and NLMS algorithms, in adaptive noise canceling or adaptive equalization scenarios where a strong narrowband interference component is present, these algorithms exhibit nonlinear dynamic behaviors. The latter is expressed in filter weights – that are generally expected to converge to constants – exhibiting a dynamic component. ...
متن کاملInterference suppression with minimal signal distortion
We propose a two-stage adaptive filtering process for canceling narrowband interference from a wideband signal process, based on a reference signal consisting of a Doppler shifted version of the interference. The first stage uses the timevarying behavior of NLMS with large step-size to produce an estimate of the interference signal, in which the Doppler shift is mitigated. The second stage uses...
متن کاملAssociating Nonlinear Effects in Nlms Adaptation with Dynamic Weight Behavior
Nonlinear effects, or non-Wiener behavior, have been observed in several adaptive filtering applications, such as adaptive equalization of wideband communication signals contaminated by narrowband interference, adaptive narrowband noise cancellation, and adaptive linear prediction of narrowband processes. The nonlinear effects have been especially prominent when narrowband processes have been i...
متن کاملNarrowband Interference Suppression Performance of Multi-Correlation Differential Detection
Radio frequency interference (RFI) is one of the foremost concerns in safety critical applications that utilize GPS. RFI sources either intentional or unintentional at the vicinity of the victim receiver can potentially mask the weak GPS signals. Most commercial receivers are equipped with no or basic level of protection against in-band RFI. Acquisition under strong RFI is more difficult as the...
متن کامل