Retrieving Evaporation Duct Heights From Radar Sea Clutter Using Particle Swarm Optimization (Pso) Algorithm

Bo, Wang; Wu, Zhensen; Zhao, Zhenwei; Wang, and Hong-Guang

doi:10.2528/pierm09090403

Cited by 37 publications

(33 citation statements)

References 10 publications

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“…In retrieving the modified refractivity profile for an evaporation duct, this technique is generally performed on the basis of the clutter power received at a fixed antenna height, as in Rogers et al [10], Yardim et al [17], and Wang et al [19]. That is, only one observed clutter power pattern is used as input into an RFC inversion algorithm.…”

Section: Introductionmentioning

confidence: 99%

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Zhang¹,

Wu²,

Zhang³

et al. 2012

PIER

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Abstract-A method for retrieving evaporation duct height (EDH) is introduced in this paper. The proposed technique employs the changes in radar sea clutter power observed at different heights as input information. It identifies the EDH associated with the modeled clutter change pattern that best matches measured change patterns. The performance of the method is evaluated in terms of RMS errors in retrieving actual EDHs that range from 0 to 40 m. The comparison of the proposed method with the conventional clutter pattern matching method shows that the former more effectively retrieves actual EDHs.

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Section: Introductionmentioning

confidence: 99%

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Zhang¹,

Wu²,

Zhang³

et al. 2012

PIER

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“…Although these comparisons are limited in number, yet do serve to illustrate its advancement in M-profile descriptions. The validation of the replicated clutter field is based on an example of observed clutter [22] shown in Figure 5.…”

Section: Advantagesmentioning

confidence: 99%

A Four-Parameter M-Profile Model for the Evaporation Duct Estimation From Radar Clutter

Zhang¹,

Wu²,

Zhu³

et al. 2011

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Abstract-A new four-parameter modified refractivity profile (Mprofile) model for the evaporation duct is introduced in this paper. In the estimation of radio refractivity structure from sea clutters, a parametric M-profile model is normally employed. The conventional M-profile model for evaporation ducts is the one-parameter log linear model, which has some potential disadvantages in describing the observed M-profiles which would result in rough results of evaporation duct estimation. Based on this model, three new parameters are introduced and a four-parameter M-profile model is proposed here. This model has the ability to (a) more accurately match real-world M-profiles, (b) well replicate the observed clutter field, and (c) show clutter power or path loss sensitivity to each model parameter. All these abilities are necessary for robust refractivity estimations. The performance of this model is tested and validated through the estimation for two truly measured M-profiles.

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“…Considering that the effects of evaporation ducts are manifested in radiowave propagation, it might be feasible to infer the structure of duct from the propagation measurements. Accordingly, a technique named as "refractivity from clutter" (RFC) is presented and developed which can be used to estimate the lower atmospheric refractivity using radar clutter [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Retrieving Evaporation Duct Heights From Power of Ground-Based GPS Occultation Signal

Wang¹,

Wu²,

Lin³

et al. 2013

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Abstract-Evaporation duct is a manifest phenomenon that can affect microwave propagation seriously with low elevation angles near the sea surface. As an important parameter to describe the characteristic of the evaporation duct, duct height can be estimated from radar sea echo using a technique called as "refractivity from clutter". In this study, we proposed a novel approach to estimating the evaporation duct height. The signal power received by a groundbased GPS receiver is used when the GPS satellites rise or set at the local horizon over the sea. A forward propagation model and genetic algorithm are adopted to implement this method. The performance is evaluated via numerical simulation for inferring evaporation duct with different height. The results showed that the proposed method is well effective, especially for the conditions with higher evaporation duct height.

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Retrieving Evaporation Duct Heights From Radar Sea Clutter Using Particle Swarm Optimization (Pso) Algorithm

Cited by 37 publications

References 10 publications

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

A Four-Parameter M-Profile Model for the Evaporation Duct Estimation From Radar Clutter

Retrieving Evaporation Duct Heights From Power of Ground-Based GPS Occultation Signal

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