A control device includes a processor configured to: acquiree irradiation related information related to beam irradiation of a host vehicle and a target vehicle; predict, based on the irradiation related information, an interference scene in which the beam interference occurs between the host vehicle and the target vehicle; perform an interference risk control to the host vehicle to mitigate a risk of beam interference in the predicted interference scene; perform a path change control to the host vehicle to change a future path of the host vehicle to a mitigation path that mitigates the beam interference; perform a beam change control to change a scheduled pattern of beam irradiation in which irradiation timing is set to be intermittent and an irradiation azimuth is set in scan manner to a mitigation pattern that mitigates the beam interference in response to the path change control being determined to be prohibited.

An interference signal detection method, apparatus, integrated circuit, radio device and terminal are disclosed, wherein, the method includes: transmitting a target signal based on a radar, receiving N frames of echo signals, obtaining N pieces of 2D FFT plane information according to the N frames of echo signals, wherein any piece of 2D FFT plane information includes power information corresponding to a range and a velocity, and detecting whether an echo signal is interfered according to accumulated power information corresponding to the range gate in the piece of 2D FFT plane information. In this way, the interference is characterized by the accumulated power information, which has good robustness and simple operations, and can achieve low power consumption of the radar system.

An interference signal detection method, apparatus, integrated circuit, radio device and terminal are disclosed, wherein, the method includes: transmitting a target signal based on a radar, receiving N frames of echo signals, obtaining N pieces of 2D FFT plane information according to the N frames of echo signals, wherein any piece of 2D FFT plane information includes power information corresponding to a range and a velocity, and detecting whether an echo signal is interfered according to accumulated power information corresponding to the range gate in the piece of 2D FFT plane information. In this way, the interference is characterized by the accumulated power information, which has good robustness and simple operations, and can achieve low power consumption of the radar system.

Generally discussed herein are systems, devices, and methods for generating multi-function waveforms. A device can include input circuitry to receive parameters indicating respective frequencies and codes for the multi-function waveforms, one or more memories to store the respective frequencies and codes, waveform management circuitry configured to produce a series of values based on the frequencies and codes, respectively, and refine the series of values by reducing a cost associated with a waveform produced using the series of values, and a transceiver to generate the waveform.

Generally discussed herein are systems, devices, and methods for generating multi-function waveforms. A device can include input circuitry to receive parameters indicating respective frequencies and codes for the multi-function waveforms, one or more memories to store the respective frequencies and codes, waveform management circuitry configured to produce a series of values based on the frequencies and codes, respectively, and refine the series of values by reducing a cost associated with a waveform produced using the series of values, and a transceiver to generate the waveform.

A defense system that receives information regarding an incoming object(s), then automatically coordinates spoofing or jamming of SATNAV signals potentially used by the incoming object(s) while also informing friendly systems of the spoofing or jamming of SATNAV signal.

A defense system that receives information regarding an incoming object(s), then automatically coordinates spoofing or jamming of SATNAV signals potentially used by the incoming object(s) while also informing friendly systems of the spoofing or jamming of SATNAV signal.

Systems and methods for identifying a synthetic track are provided. In one embodiment, a method can include receiving, by one or more computing devices, a plurality of emissions from one or more platforms. The emissions can be generated in an emission sequence and are generated to create a track indicative of an object travel path. The method can further include determining, by the one or more computing devices, whether an irregularity associated with the track exists based at least in part on one or more of the emissions. The method can include rejecting, by the one or more computing devices, the track as an actual object travel path when it is determined that the irregularity associated with the track exists.

Systems and methods for identifying a synthetic track are provided. In one embodiment, a method can include receiving, by one or more computing devices, a plurality of emissions from one or more platforms. The emissions can be generated in an emission sequence and are generated to create a track indicative of an object travel path. The method can further include determining, by the one or more computing devices, whether an irregularity associated with the track exists based at least in part on one or more of the emissions. The method can include rejecting, by the one or more computing devices, the track as an actual object travel path when it is determined that the irregularity associated with the track exists.

A feature detection system, the system comprising: at least one processor in operative communication with a signal source, said processor further comprising at least one non-transitory storage medium, wherein at least one non-transitory storage medium contains instructions configured to cause the processor to: apply a joint group sparse denoising and delay estimation approach to a signal received from said signal source; and output statistics regarding the signal, wherein the joint group sparse denoising and delay estimation approach comprises; using the following equation: $\left\{x^{*},{?}^{*}\right\}=\underset{x,?}{\mathrm{argmin}}\left\{\frac{1}{2}\underset{j=1}{\overset{M}{.Math.}}{.Math.y_j-x.Math.}_2^2+\underset{i=0}{\overset{N}{.Math.}}{?}_i{?}_i\left(D_i^{l_i}x\right)\right\}$
where: ?.sub.i are regularization functions; ?y?x?.sub.2.sup.2 is a data-fidelity term and, in embodiments, is chosen as the least-square term; l.sub.i are real numbers; D.sub.i are operators, which may be linear filters that can be written in matrix form; ?.sub.i are regularization parameters; and x*,?* represent estimates of at least one tr