Implementation of the Alamouti OSTBC to a Distributed Set of Single-Antenna Wireless Nodes

Cagley, R.E.; Weals, B.T.; McNally, Scott; Iltis, R.A.; Mirzaei, Shahnam; Kastner, Ryan

doi:10.1109/wcnc.2007.112

Cited by 4 publications

(3 citation statements)

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“…This testbed employs the Xilinx Virtex-4SX FPGA for signal processing and currently implements an Alamouti 2x1 OSTBC at 500 kbps and a 1.3 GHz carrier frequency. Due to the FPGA constraints, a simplified homodyne frequency-offset estimator with LMS channel tracker was targeted to the Virtex device as described in [14]. Here, we show that the homodyne method is a systematic approximation to the ML joint delay/offset/channel estimator.…”

Section: Implementation Constraints and Homodyne Offset Estimatormentioning

confidence: 89%

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Nonlinear Channel Estimation Issues in Cooperative Sensor MIMO

Iltis

Cagley

2007

2007 Information Theory and Applications Workshop

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Abstract-A cooperative MIMO system for range extension in sensor networks is considered. A local sensor group forms a consensus and seeks to transmit a common pool of data to a stand-off multi-element collector. Each sensor then transmits one column of an orthogonal space-time block code (OSTBC). The resulting increased effective power and diversity can yield substantial range increases for moderate numbers of sensors. The major problem is tracking the individual sensor frequency offsets, delays and sensor-to-collector channels under high mobility. The unscented Kalman filter (UKF) is presented as a state of the art solution to the cooperative MIMO channel estimation problem, and its performance is evaluated via a hybrid analysis/simulation of bit-error rate. A hardware implementation of the collector is also discussed based on simplified correlation and homodyne estimation strategies. The homodyne estimator performance is finally compared to that of previous generalized successive interference cancellation (GSIC) and correlation-based algorithms via simulation.

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Section: Implementation Constraints and Homodyne Offset Estimatormentioning

confidence: 89%

“…However, it was determined that Kalman filter-based channel estimators were too complex for implementation in the current testbed [14]. This testbed employs the Xilinx Virtex-4SX FPGA for signal processing and currently implements an Alamouti 2x1 OSTBC at 500 kbps and a 1.3 GHz carrier frequency.…”

Section: Implementation Constraints and Homodyne Offset Estimatormentioning

confidence: 99%

Nonlinear Channel Estimation Issues in Cooperative Sensor MIMO

Iltis

Cagley

2007

2007 Information Theory and Applications Workshop

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“…FPGAs are an increasingly common platform for wireless communication [Meng et al 2005;Iltis et al 2006;Cagley et al 2007]. FPGAs are a perfect platform for computationally intensive arithmetic calculations like matrix inversion as they provide powerful computational architectural features: vast amounts of programmable logic elements, embedded multipliers, shift register LUTs (SRLs), Block RAMs (BRAMs), DSP blocks, and Digital Clock Managers (DCMs).…”

Section: Introductionmentioning

confidence: 99%

Gusto

Irturk

Benson

Mirzaei

et al. 2010

ACM Trans. Embed. Comput. Syst.

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Matrix inversion is a common function found in many algorithms used in wireless communication systems. As FPGAs become an increasingly attractive platform for wireless communication, it is important to understand the trade-offs in designing a matrix inversion core on an FPGA. This article describes a matrix inversion core generator tool, GUSTO, that we developed to ease the design space exploration across different matrix inversion architectures. GUSTO is the first tool of its kind to provide automatic generation of a variety of general-purpose matrix inversion architectures with different parameterization options. GUSTO also provides an optimized applicationspecific architecture with an average of 59% area decrease and 3X throughput increase over its general-purpose architecture. The optimized architectures generated by GUSTO provide comparable results to published matrix inversion architecture implementations, but offer the advantage of providing the designer the ability to study the trade-offs between architectures with different design parameters.

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2010

Cooperative Communications

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Implementation of the Alamouti OSTBC to a Distributed Set of Single-Antenna Wireless Nodes

Cited by 4 publications

References 12 publications

Nonlinear Channel Estimation Issues in Cooperative Sensor MIMO

Nonlinear Channel Estimation Issues in Cooperative Sensor MIMO

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