Michael C. Wicks

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In the situation that a radar platform is moving very fast, the number of training data used in space-time adaptive processing (STAP) is a major concern. Less number of training data is preferred in this situation. In this paper, four versions of statistical-based and direct data domain STAPs are discussed and compared their performance when the number of(More)
—Radio frequency (RF) tomography is proposed to detect underground voids, such as tunnels or caches, over relatively wide areas of regard. The RF tomography approach requires a set of low-cost transmitters and receivers arbitrarily deployed on the surface of the ground or slightly buried. Using the principles of inverse scattering and diffraction(More)
A direct data domain deterministic approach utilizing a nonuniform array to adaptively estimate the signal strength of an incoming signal in the presence of strong jammers, clutter, and thermal noise is presented. This method is based on choosing a weighted difference of neighboring antenna outputs, based on the direction of arrival of the signal of(More)
—Spectrum sensing is a fundamental problem in cognitive radio. We propose a function of covariance matrix based detection algorithm for spectrum sensing in cognitive radio network. Monotonically increasing property of function of matrix involving trace operation is utilized as the cornerstone for this algorithm. The advantage of proposed algorithm is it(More)
used to implement this. In Section 5, a few numerical nicola, V., A Comparison of Two Techniques for the Inter-examples are studied and comparisons made. In this paper, a comparison is made between two methods which are used for interpolation/extrapolation of frequency domain responses. The first method is the direct Consider a system function H(s). The(More)