Abstract: A method for spectrum sensing for cognitive radio includes performing a process of local spectrum sensing using receive beamforming and energy detection at each of a plurality of secondary users included in a cognitive radio network, wherein the process of local spectrum sensing decides between two hypotheses corresponding to absence and presence of a primary user, the two hypotheses being formulated using a primary user signal, a plurality of co-channel interferences, and sensing noise, the primary user signal, the plurality of co-channel interferences, and the sensing noise being received at each of the plurality of secondary users, and a set of beamforming weights of the receive beamforming is determined by optimizing a probability of detection and constraining a probability of false alarm.

Abstract: A method for spectrum sensing for cognitive radio includes performing a process of local spectrum sensing using receive beamforming and energy detection at each of a plurality of secondary users included in a cognitive radio network, wherein the process of local spectrum sensing decides between two hypotheses corresponding to absence and presence of a primary user, the two hypotheses being formulated using a primary user signal, a plurality of co-channel interferences, and sensing noise, the primary user signal, the plurality of co-channel interferences, and the sensing noise being received at each of the plurality of secondary users, and a set of beamforming weights of the receive beamforming is determined by optimizing a probability of detection and constraining a probability of false alarm.

Abstract: A method for spectrum sensing for cognitive radio includes performing a process of local spectrum sensing using receive beamforming and energy detection at each of a plurality of secondary users included in a cognitive radio network, wherein the process of local spectrum sensing decides between two hypotheses corresponding to absence and presence of a primary user, the two hypotheses being formulated using a primary user signal, a plurality of co-channel interferences, and sensing noise, the primary user signal, the plurality of co-channel interferences, and the sensing noise being received at each of the plurality of secondary users, and a set of beamforming weights of the receive beamforming is determined by optimizing a probability of detection and constraining a probability of false alarm.

Abstract: A method for spectrum sensing for cognitive radio includes performing a process of local spectrum sensing using receive beamforming and energy detection at each of a plurality of secondary users included in a cognitive radio network, wherein the process of local spectrum sensing decides between two hypotheses corresponding to absence and presence of a primary user, the two hypotheses being formulated using a primary user signal, a plurality of co-channel interferences, and sensing noise, the primary user signal, the plurality of co-channel interferences, and the sensing noise being received at each of the plurality of secondary users, and a set of beamforming weights of the receive beamforming is determined by optimizing a probability of detection and constraining a probability of false alarm.

Abstract: A method of processing waveforms associated with an unknown random target, wherein the waveforms are transmitted from and received at a multiple-input multiple-output (MIMO) radar, is described. A finite signal is transferred through a digital to analog (D/A) filter and a modulation section, such that a set of transmitting antenna elements may transmit a plurality of incident waveforms towards the unknown target. When the MIMO radar receives a plurality of reflected waveforms from the unknown target, a received signal is formulated by filtering and demodulating the reflected waveforms. The received signal is a function of the target, clutter, and white noise. The received signal is used to determine a signal-to-interference-plus-noise (SINK) ratio and also to derive a calculation module for the outage probability of the MIMO radar. The calculation module is solved to reduce the outage probability of the MIMO radar.

Abstract: A method for spectrum sensing for cognitive radio includes performing a process of local spectrum sensing using receive beamforming and energy detection at each of a plurality of secondary users included in a cognitive radio network, wherein the process of local spectrum sensing decides between two hypotheses corresponding to absence and presence of a primary user, the two hypotheses being formulated using a primary user signal, a plurality of co-channel interferences, and sensing noise, the primary user signal, the plurality of co-channel interferences, and the sensing noise being received at each of the plurality of secondary users, and a set of beamforming weights of the receive beamforming is determined by optimizing a probability of detection and constraining a probability of false alarm.