A method and apparatus for pulse interference suppression, and a computer readable storage medium in a communication system are provided in the embodiments of the present invention. The method includes: judging a location where pulse interference occurs according to a power of a signal; and performing suppression processing on a data segment interfered by a pulse in the location. After judging that the pulse interference exists in the location, a receiver in the communication system discards the data segment interfered by the pulse in the location, and feeds back an indication that the data are not received.

A technique for tamper protection of incoming data signal to an electronic device is disclosed. An intentional interference signal is generated and modulated onto the incoming data signal as one composite input signal, to prevent unauthorized acquisition of valid data from the incoming data signal. The magnitude of the interference signal is adjusted to correspond to the magnitude of the incoming data signal, thereby preventing an attacker from properly differentiating the two different signals and/or decoding the valid data from the composite input signal. Once the composite input signal is safely received within the device, the interference signal can be filtered out in either analog mode or digital mode.

A method and apparatus for providing a standalone anti-jamming (AJ) nuller-beamformer. Signals from an antenna array include a sum of Global Navigation Satellite System (GNSS) signals and jamming signals from a plurality of spatial sources. A front end is configured to amplify, filter, down-convert, and sample the input signals which are then filtered, downconverted, and decimated prior to frequency-domain and time-domain partitioning. Weights are computed and applied for spatial nulling of jamming signals in each frequency bin for the partitioned signals. Frequency and time-domain reconstruction generates a reconstructed signal with suppressed jamming.

Wavelet transformation based anti-jam processing methods and systems are disclosed. An anti-jam processing method may include: generating a wavelet transformation for a unit of a received signal; weighting each element in the wavelet transformation to generate a weighted wavelet transformation; evaluating jammer suppression performances of a plurality of time and frequency resolution levels defined for an inverse wavelet transformation; selecting a particular time and frequency resolution level among the plurality of time and frequency resolution levels; and applying the inverse wavelet transformation to the weighted wavelet transformation, wherein the inverse wavelet transformation is applied based on the particular time and frequency resolution level selected.

A method and system of symbol measurement and combining (SMaC) provides near-optimal performance for each user independently by relying on rapid digital beamforming with near-ideal convergence properties. This approach is also provides near-ideal performance without any knowledge of user/jammer location and adapts instantly as those locations change. An iterative joint estimation method is used to determine a covariance matrix R.sub.XX, and a user beamsteering vector, α.

A system for interference suppression onboard a satellite includes a beamforming module that processes radio-frequency (RF) signals originated from a plurality of antenna elements of an array antenna to generate multiple analog signals. At least one of the analog signals is an anti-interference signal. Analog-to-digital converters convert the analog signals to a number of digital signals. A processing module processes the digital signals to generate a phase and amplitude control signal. A summation module generates one or more composite signals with reduced interference.

An interference removal filter that includes a combination of a first filter and a second filter, where the first filter passes signals over a frequency range of size B with a variation of less than +/−3 dB, where the peak value of the impulse response of the second filter is displaced in time from the peak value of the impulse response of the first filter by at least 2/B time units, and where the combination of the first filter and the second filter produces a notch in frequency at a frequency location within the frequency range.

A technology is described for mitigating global positioning system (GPS) spoofer signals. A potentially spoofed GPS signal received via an antenna coupled to a GPS receiver can be identified. The potentially spoofed GPS signal can be applied to a spoofer signal nulling loop to generate a set of spoofer nulling weights. The set of spoofer nulling weights can produce a direction vector associated with the potentially spoofed GPS signal. The direction vector can be compared to a beamsteering vector. The potentially spoofed GPS signal can be determined as being a spoofer GPS signal when a misalignment between the direction vector and the beamsteering vector is above a defined threshold. The spoofer GPS signal can be converted to a spoofer mitigation signal that is applied to satellite track channels of the GPS receiver. The spoofer mitigation signal can produce a spatial null in a direction of the spoofer GPS signal.

A process for an electronically steerable parasitic array (ESPAR) antenna includes operating the ESPAR antenna with a receiver in Normal Mode until an internal flag is generated by the receiver indicating jamming RF noise preventing Normal Mode operation, causing the ESPAR antenna to switch to Anti-jam Mode. Anti-jam Mode includes a Search Mode and a Track Mode. The ESPAR antenna is steered in Search Mode, causing the ESPAR antenna to beam in a circular pattern to locate a spatial direction of the jamming RF noise, identify the spatial direction of the jamming RF noise preventing Normal Mode operation, and place a null in the spatial direction of the jamming RF noise. The ESPAR antenna switches to Track Mode to maintain the null in the spatial direction of the jamming RF noise until the jamming RF noise is not present. The ESPAR antenna then returns to operating in Normal Mode.

Methods, systems, and computer program products are described for automatically reducing interference within received signals. A first radio frequency (RF) signal having (i) a desired component and (ii) an interference component with a noise component and a jammed component is received. A trained machine learning (ML) model extracts, from the RF signal, the jammed component and a portion of the noise component. The trained ML model generates and outputs a second RF signal comprising the desired component and a reduced noise component. The reduced noise component has the portion of the noise component removed. The jammed component is removed from the second RF signal.