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- A Swindlehurst, T Kailath
- 1992

We consider in this paper the problem of extending the ESPRIT algorithm for multiple source, co-channel direction nding to the two-dimensional case (e.g., azimuth and elevation angle estimation). Two algorithms are presented, one based on the optimal (minimum variance) subspace tting formulation of ESPRIT, and the other based on an approximation to it. The… (More)

- A Swindlehurst, T Kailath
- 1992

This is the second of a two-part paper dealing with the performance of subspace-based algorithms for narrowband direction-of-arrival (DOA) estimation when the array manifold and noise covariance are not correctly modeled. In Part I, the performance of the MUSIC algorithm was investigated. In Part II, we extend this analysis to mul-tidimensional (MD)… (More)

Multiple input, multiple output (MIMO) wireless communications links have been shown to have the potential for signifcant increases in capacity, provided they are deployed in an environment with rich multipath scattering. To realize these gains, a number of space-time coding strategies have recently been proposed. Most of these algorithms assume that, via… (More)

We compare the performance of several algorithms for signal separation based on actual mobile cellular radio data. The data were collected by base stations in two different environments: using an eight element linear array on a hillside overlooking a suburban area, and using a four element square array at the top of a ten story building in a dense urban… (More)

- A Swindlehurst, R Roy, B Ottersten, T Kailath
- 1995

A new method is presented for the identiication of systems parameterized by linear state space models. The method relies on the concept of subspace tting, wherein an input/output data model parameterized by the state matrices is found that best ts, in the least-squares sense, the dominant subspace of the measured data. Some empirical results are included to… (More)

A b s t r a c t Most popular techniques f o r t h e narrowband direction of arrival (D O A) problem rely on a n eigendecomposition (E V D) computa-t i o n t o determine both the n u m b e r of signals and their respective D O A s. In t h i s paper, a n alternative algorithm i s presented that solves both t h e D O A detection and estimation problems without… (More)

Abstmct-Application of Space-Time Adaptive Processing (STAP) in real situations requires dimension-reducing methods. This is due to both the large computational cost involved in calculating the interference statistics and the smaller number of stationary training samples available to estimate the clutter covariance. Recently, auto-regressive (AR) filtering… (More)

We study the achievable rate regions of the multiple-input multiple-output (MIMO) interference channel with confidential messages sent to two receivers. Under this model, each receiver is an eavesdropper for the other link and tries to decode both its own message and the message intended for the other receiver. We describe several transmission schemes for… (More)

- OULU F INLAND, Olli Vuolteenaho, Seppo Eriksson, Honglei Miao, HONGLEI MIAO, Markku Juntti +3 others
- 2007

Recent work has shown how the special structure of linear space-time block codes can be exploited for blind equalization or direct symbol estimation in MIMO wireless systems. In this paper, it is demonstrated that improved performance can be obtained by combining the information provided by the structure of the code together with a priori knowledge that the… (More)