Variable Time Delay Estimation in Colored and Correlated Noise Environment

Nader M. Namazi; Bharat Biswal

doi:10.1109/7.144585

Variable Time Delay Estimation in Colored and Correlated Noise Environment

Nader M. Namazi, Bharat Biswal

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A new iterative algorithm for variable time delay estimation (TDE) is presented. The algorithm is based on a system model where two received signals of the form r₁(i) = s(i)+n₁(i) r₂(i) = s(i-D(i)) + n₂(i) are used to estimate the delay. In the model i is the discrete-time index, s(i) is the source signal, D(i) is the (integer) delay waveform, and n₁(i) and n₂(i) ^are colored and correlated noises. Based on the minimum mean-squared error criterion and a linearized observation model, we devise an iterative delay estimator. The estimator involves a weighting function that is designated to facilitate the convergence to delay estimate. Simulations are run to test the performance of the algorithm. Results of the simulations are presented.

Original language	English (US)
Pages (from-to)	597-604
Number of pages	8
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	28
Issue number	2
DOIs	https://doi.org/10.1109/7.144585
State	Published - Apr 1992
Externally published	Yes

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/7.144585

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title = "Variable Time Delay Estimation in Colored and Correlated Noise Environment",

abstract = "A new iterative algorithm for variable time delay estimation (TDE) is presented. The algorithm is based on a system model where two received signals of the form r1(i) = s(i)+n1(i) r2(i) = s(i-D(i)) + n2(i) are used to estimate the delay. In the model i is the discrete-time index, s(i) is the source signal, D(i) is the (integer) delay waveform, and n1(i) and n2(i) are colored and correlated noises. Based on the minimum mean-squared error criterion and a linearized observation model, we devise an iterative delay estimator. The estimator involves a weighting function that is designated to facilitate the convergence to delay estimate. Simulations are run to test the performance of the algorithm. Results of the simulations are presented.",

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T1 - Variable Time Delay Estimation in Colored and Correlated Noise Environment

AU - Namazi, Nader M.

AU - Biswal, Bharat

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N2 - A new iterative algorithm for variable time delay estimation (TDE) is presented. The algorithm is based on a system model where two received signals of the form r1(i) = s(i)+n1(i) r2(i) = s(i-D(i)) + n2(i) are used to estimate the delay. In the model i is the discrete-time index, s(i) is the source signal, D(i) is the (integer) delay waveform, and n1(i) and n2(i) are colored and correlated noises. Based on the minimum mean-squared error criterion and a linearized observation model, we devise an iterative delay estimator. The estimator involves a weighting function that is designated to facilitate the convergence to delay estimate. Simulations are run to test the performance of the algorithm. Results of the simulations are presented.

AB - A new iterative algorithm for variable time delay estimation (TDE) is presented. The algorithm is based on a system model where two received signals of the form r1(i) = s(i)+n1(i) r2(i) = s(i-D(i)) + n2(i) are used to estimate the delay. In the model i is the discrete-time index, s(i) is the source signal, D(i) is the (integer) delay waveform, and n1(i) and n2(i) are colored and correlated noises. Based on the minimum mean-squared error criterion and a linearized observation model, we devise an iterative delay estimator. The estimator involves a weighting function that is designated to facilitate the convergence to delay estimate. Simulations are run to test the performance of the algorithm. Results of the simulations are presented.

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Variable Time Delay Estimation in Colored and Correlated Noise Environment

Abstract

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