### Abstract

In this paper we consider the problem of estimating a vector source in a sensor network, where each sensor in the network makes a local observation of this vector source. We assume that the local observations are distorted and noise corrupted versions of the original signal source, i.e., the observation of m-th sensor y_{m} and the signal source x are related through y _{m} = H_{m}x + n_{m} where the matrix H_{m} represents the distortion (filtering) effect and n_{m} denotes the additive noise. Each sensor encodes its observation separately and sends the encoded message to a central processor (CP), whose task is to form an estimate of source x. Our objective is to design quantizers such that the distortion in the source estimate formed by the CP is minimized, subject to the sum quantization rate constraint. Realizing the resemblance of this problem to the classical CEO problem [2] in multiterminal source coding, and inspired by the work in [3], we propose a successive coding and decoding strategy, based on Wyner-Ziv coding concept. Numerical evaluation of the sum rate-distortion performance of the proposed algorithm reveals an interesting trade off between sum rate, target distortion, and number of sensor nodes which are participating in the sequential coding.

Original language | English (US) |
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Title of host publication | SPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications |

State | Published - Dec 1 2007 |

Externally published | Yes |

Event | 8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 - Helsinki, Finland Duration: Jun 17 2007 → Jun 20 2007 |

### Publication series

Name | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
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### Other

Other | 8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 |
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Country | Finland |

City | Helsinki |

Period | 6/17/07 → 6/20/07 |

### ASJC Scopus subject areas

- Signal Processing
- Engineering(all)

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## Cite this

*SPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications*[4401395] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).