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This paper presents a new technique for high resolution direction finding that only requires the array outputs to be sampled one at a time by a single channel receiver. According to single channel output, we establish a new processing model. The new model is structurally similar to the conventional multiple channel model and the only difference is that the rectification item can be modified. This allows the application of most existing high resolution DOA estimation algorithms of multiple channel in a single channel model. The feasibility of this approach is demonstrated with simulation.

In this paper, a new Bayesian array signal model structure based on signal reconstruction is proposed, that allows us to define a posterior distribution on the parameter space, which is applicable to both wideband and narrowband signals. Unfortunately, a direct evaluation of this distribution and of its features, including posterior model probabilities, requires evaluation of some complicated high-dimensional integrals. We develop an efficient hybrid sampling algorithm based on reversible jump Markov Chain Monte Carlo methods to jointly detect and estimate the sources impinging on a single array of sensors in Gaussian noise. This algorithm provides higher resolution than traditional wideband methods. The accuracy of the structure and the validity of this method are well verified by the simulation.

Narrowband antennas are not suitable for UWB systems. This paper emphasizes on the design for mono-cone and sphere-loaded mono-cone antennas. The voltage standing wave ratio (VWSR), input impedance, fidelity coefficient of radiated pulse, radiant efficiency and radiant patterns are computer calculated. Simulated results confirm that the mono-cone and sphere-loaded mono-cone antennas be of good ultra-wide band performance. Sphere-loaded mono-cone antennas are better to radiate ultra-wide band pulses than mono-cone antennas on condition of the same size of antennas.