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A new method is presented for the computation of local mean power from individual multipath signals predicted by two-dimensional ray-tracing-based propagation models. This method is based on an expression for the spatial average of the received power, which takes into account the spatial correlation between signals. Numerical results for some simple test configurations show that application of the common method of simply adding the ray powers can result in considerable errors, while the new method remains accurate--at the cost of slightly increased computational complexity.

A key problem in high-resolution multidimensional parameter estimation via unitary ESPRIT is to jointly solve a set of invariance equations by means of least-squares minimization. It has been shown previously that existing least-squares techniques fail when applied to the category of cross arrays, which consist of perpendicular uniform linear arrays crossing at the center of the array. Cross array geometries are of special interest because they provide a larger aperture and, hence, better resolution for a given number of array elements than other multidimensional uniform array geometries. This letter proposes an improved structured least-squares method that enables successful application of unitary ESPRIT to cross arrays. Results of simulated direction-of-arrival estimation experiments using a three-dimensional cross array indicate that considerable performance improvements can be achieved if the new method is used. [ABSTRACT FROM AUTHOR]

This paper presents a reduced-complexity soft-input soft-output detection scheme, called iterative tree search detection for multiple-input multiple-output wireless communication systems employing turbo processing at the receiver. In this scheme, a reduced search space is selected with the aid of the M-algorithm, and QAM signal constellations with block partitionable labels are independent of the modulation order, as well as asymptotically linear in the number of transmit antennas. Results from computer simulations are presented which demonstrate the capability of the scheme to approach optimal performance at considerable reduced complexity. [ABSTRACT FROM AUTHOR]

Highlights a study that applied the uniform circular array-MUSIC angular superresolution algorithm to complex impulse response measurement data obtained from a synthetic uniform circular array. Description of the measurement equipment; Data model and notation; Algorithm for the accurate estimation of angles-of-arrival; Computer simulations of the angular resolution performance; Experimental results; Conclusion.