### Abstract

In many communication systems the channel impulse response can be characterized with a parametric form, though the channel estimation is often performed using an equivalent discrete-time linear time-invariant system (usually modeled as a Moving Average (MA) system). When the number of parameters which describe the channel is less than the number of unknowns in the MA model, the ML estimate of the parameters describing the channel may lead to a better estimate of the channel response. However, this ML estimation procedure is highly complex. The objectives of this paper are 1) to cast the parameter estimation problem as a sparse estimation problem, 2) to compare the performance of this estimate with the CRB of the parameter estimation problem and the least squares estimate, and 3) to present novel guidelines on the amount of resources which one must devote to training for identification of the channel.

Original language | English (US) |
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Title of host publication | Proceedings - IEEE Military Communications Conference MILCOM |

DOIs | |

State | Published - 2008 |

Externally published | Yes |

Event | 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States Duration: Nov 17 2008 → Nov 19 2008 |

### Other

Other | 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success |
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Country | United States |

City | Washington, DC |

Period | 11/17/08 → 11/19/08 |

### Fingerprint

### ASJC Scopus subject areas

- Electrical and Electronic Engineering

### Cite this

*Proceedings - IEEE Military Communications Conference MILCOM*[4753291] https://doi.org/10.1109/MILCOM.2008.4753291

**Estimation of sparse multipath channels.** / Sharp, Matthew; Scaglione, Anna.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings - IEEE Military Communications Conference MILCOM.*, 4753291, 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success, Washington, DC, United States, 11/17/08. https://doi.org/10.1109/MILCOM.2008.4753291

}

TY - GEN

T1 - Estimation of sparse multipath channels

AU - Sharp, Matthew

AU - Scaglione, Anna

PY - 2008

Y1 - 2008

N2 - In many communication systems the channel impulse response can be characterized with a parametric form, though the channel estimation is often performed using an equivalent discrete-time linear time-invariant system (usually modeled as a Moving Average (MA) system). When the number of parameters which describe the channel is less than the number of unknowns in the MA model, the ML estimate of the parameters describing the channel may lead to a better estimate of the channel response. However, this ML estimation procedure is highly complex. The objectives of this paper are 1) to cast the parameter estimation problem as a sparse estimation problem, 2) to compare the performance of this estimate with the CRB of the parameter estimation problem and the least squares estimate, and 3) to present novel guidelines on the amount of resources which one must devote to training for identification of the channel.

AB - In many communication systems the channel impulse response can be characterized with a parametric form, though the channel estimation is often performed using an equivalent discrete-time linear time-invariant system (usually modeled as a Moving Average (MA) system). When the number of parameters which describe the channel is less than the number of unknowns in the MA model, the ML estimate of the parameters describing the channel may lead to a better estimate of the channel response. However, this ML estimation procedure is highly complex. The objectives of this paper are 1) to cast the parameter estimation problem as a sparse estimation problem, 2) to compare the performance of this estimate with the CRB of the parameter estimation problem and the least squares estimate, and 3) to present novel guidelines on the amount of resources which one must devote to training for identification of the channel.

UR - http://www.scopus.com/inward/record.url?scp=78650759308&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650759308&partnerID=8YFLogxK

U2 - 10.1109/MILCOM.2008.4753291

DO - 10.1109/MILCOM.2008.4753291

M3 - Conference contribution

AN - SCOPUS:78650759308

SN - 9781424426775

BT - Proceedings - IEEE Military Communications Conference MILCOM

ER -