A 'current' statistical model and adaptive algorithm for estimating maneuvering targets

Kumar, K. S. P.; Zhou, Haiyan

doi:10.2514/3.19900

Cited by 188 publications

(59 citation statements)

References 8 publications

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“…To this end, we adopt one of the ATP algorithms presented in [32] to predict the positions of the aircrafts, with which the average SNRs of the channels can be estimated. To this end, we adopt one of the ATP algorithms presented in [32] to predict the positions of the aircrafts, with which the average SNRs of the channels can be estimated.…”

Section: Robust Greedy Relay Selection Algorithmmentioning

confidence: 99%

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ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Hua

Chen

et al. 2014

Int J Communication

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The ground-to-air communications in the aircraft approach stage suffer from multipath fading. We propose to combat this problem using cooperative communication technique. The relay selection problem is formulated to minimize the spectrum cost while preserving the signal-to-noise-ratio (SNR) outage requirement of the approaching aircraft. By leveraging the position and velocity information in the automatic dependent surveillance-broadcast messages, the average channel gains can be derived with uncertainty sets based on the Ricean channel model. Because the outage probability of the received SNR is intractable, we transform the outage constraint into a simple but efficient reliability requirement. The formulated problem is a mixed integer nonlinear optimization problem, with robustness in the worst-case average SNR. A robust greedy relay selection algorithm is proposed as a solution, whereby a Kalman filter based trace prediction algorithm is adopted to determine the order of relays. Simulation results are given to show the effectiveness of the proposed scheme. -B of the aircraft under serious weather condition, the synthetic vision system (SVS) [2] has been developed to extend the visual range of the pilot. The SVS can integrate the position information from global positioning system and inertial navigation system with the traffic information from the control tower, which are displayed on the screen to help the pilot make decisions. In SVS, data link technology is adopted for the signal transmission from the control tower to the approaching aircraft. However, because of the high speed and low elevation of the approaching aircraft, the performance of point-to-point data link suffers from serious multipath fading in the flight test [3,4].In the last decade, cooperative communication technique has received much attention in the communication society [5][6][7], which is proved to be effective in combating multipath fading by exploiting the spatial diversity of the relay nodes. In our work, we consider the application of cooperative communication technique in the aircraft approach scenario. Considering the requirement RELAY SELECTION FOR COOPERATIVE COMMUNICATIONS IN AIRCRAFT APPROACH 115 ‡ Straight-in approach means the final approach has begun without first executing a procedure turn, and the trace of the aircraft approach follows the extended runway centerline. In fact, the approaching pattern only determines the mobility pattern of the aircrafts. The analysis and algorithm in our paper still work under other approaching patterns. § The simulation is conducted on MATLAB 7.0.1, where the system configurations are : Intel(R) Core(TM)2 Duo CPU E7200@2.53GHz, 2G RAM, 32bit OS.

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Section: Robust Greedy Relay Selection Algorithmmentioning

confidence: 99%

“…/ T denotes the transpose of matrix),ˆ1 andˆk =k 1 are given in [32]. / T denotes the transpose of matrix),ˆ1 andˆk =k 1 are given in [32].…”

Section: Robust Greedy Relay Selection Algorithmmentioning

confidence: 99%

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Hua

Chen

et al. 2014

Int J Communication

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“…In 1982, Bar-shalom and Birmiwal [4] proposed a maneuver target track model with the maneuver detection. In 1984, Zhou and Kumar [5] proposed the current statistical model based on the Singer model. The jerk model proposed by Mehrotra [6] was another valid method to track the maneuver target.…”

Section: Introductionmentioning

confidence: 99%

“…A higher model order can present higher mobility of target. Jerk model broadens the adaptive target maneuver form and is more suitable for high maneuver targets [5]. However, for the traditional jerk model, "jerk" α should be predefined and may be time-varying in the practical process.…”

Section: Introductionmentioning

confidence: 99%

Maximum Correntropy Criterion Kalman Filter for α-Jerk Tracking Model with Non-Gaussian Noise

Hou

Zhou

et al. 2017

Entropy

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Abstract:As one of the most critical issues for target track, α-jerk model is an effective maneuver target track model. Non-Gaussian noises always exist in the track process, which usually lead to inconsistency and divergence of the track filter. A novel Kalman filter is derived and applied on α-jerk tracking model to handle non-Gaussian noise. The weighted least square solution is presented and the standard Kalman filter is deduced firstly. A novel Kalman filter with the weighted least square based on the maximum correntropy criterion is deduced. The robustness of the maximum correntropy criterion is also analyzed with the influence function and compared with the Huber-based filter, and, moreover, the kernel size of Gaussian kernel plays an important role in the filter algorithm. A new adaptive kernel method is proposed in this paper to adjust the parameter in real time. Finally, simulation results indicate the validity and the efficiency of the proposed filter. The comparison study shows that the proposed filter can significantly reduce the noise influence for α-jerk model.

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“…This model is known as the Singer model [2]. The Singer model is the basis model for the development of many other effective models, such as the mean-adaptive acceleration model [3]. These types of models are basically a priori models, which cannot suitably perform for the various accelerations of practical scenarios [4].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Differential Equations for Modeling of High Maneuvering Target Tracking

Hajiramezanali¹

2013

ETRI J

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In this paper, we propose a new adaptive single model to track a maneuvering target with abrupt accelerations. We utilize the stochastic differential equation to model acceleration of a maneuvering target with stochastic volatility (SV). We assume the generalized autoregressive conditional heteroscedasticity (GARCH) process as the model for the tracking procedure of the SV. In the proposed scheme, to track a high maneuvering target, we modify the Kalman filtering by introducing a new GARCH model for estimating SV. The proposed tracking algorithm operates in both the non‐maneuvering and maneuvering modes, and, unlike the traditional decision‐based model, the maneuver detection procedure is eliminated. Furthermore, we stress that the improved performance using the GARCH acceleration model is due to properties inherent in GARCH modeling itself that comply with maneuvering target trajectory. Moreover, the computational complexity of this model is more efficient than that of traditional methods. Finally, the effectiveness and capabilities of our proposed strategy are demonstrated and validated through Monte Carlo simulation studies.

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A 'current' statistical model and adaptive algorithm for estimating maneuvering targets

Cited by 188 publications

References 8 publications

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Maximum Correntropy Criterion Kalman Filter for α-Jerk Tracking Model with Non-Gaussian Noise

Stochastic Differential Equations for Modeling of High Maneuvering Target Tracking

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