Weighted average extended FIR filter bank to manage the horizon size in nonlinear FIR filtering

Pak, Jung Min; Yoo, Seong Yong; Lim, Myo Taeg; Song, Moon Kyou

doi:10.1007/s12555-014-0257-3

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…The filter size used for this approach is selected to maximize the likelihood function. The simulations of this approach gives good results compared with the conventional approach [24].…”

Section: Related Workmentioning

confidence: 88%

Study the Characteristics of FIR filter Based on Modified Kaiser Window

Al-Ani

2017

UHDJST

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“…The filter size used for this approach is selected to maximize the likelihood function. The simulations of this approach gives good results compared with the conventional approach [24].…”

Section: Related Workmentioning

confidence: 88%

Study the Characteristics of FIR filter Based on Modified Kaiser Window

Al-Ani

2017

UHDJST

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“…The estimation error covariance of the MVFF was computed in [12]. Readers can find the detailed derivation of the MVFF in [14], [22], [23].…”

Section: Hybrid Pda/fir Filtermentioning

confidence: 99%

Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars

Pak¹

2021

IEEE Access

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This paper proposes a novel single vehicle tracking algorithm with enhanced reliability for automotive radar systems. The proposed algorithm overcomes the weaknesses of the probabilistic data association filter (PDAF) in single-target tracking in clutter. The PDAF is successful in normal situations, but may fail to track a target owing to various factors, such as the initialization errors and the sudden changes in the target motion. The proposed algorithm can recover the PDAF from failures using an assisting finite impulse response (FIR) filter. The FIR filter operates only when the PDAF cannot track a target properly, and additionally offers state estimate and estimation error covariance to reset the PDAF. The proposed algorithm, the hybrid PDAF/FIR filter (HPFF), combines the PDAF and FIR filter, and hence shows enhanced reliability. Simulations of preceding vehicle tracking using an automotive radar demonstrate the effect and performance of the proposed HPFF.

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“…These could originate the divergence problem in the Kalman filter [1][2][3]. In order to prevent divergence problems, finite impulse response (FIR) filters have been used as an alternative to the Kalman filter [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Since FIR filters estimate the states by using finite measurements on the most recent time interval, these filters are known to be more robust against modeling uncertainties and numerical errors that cause of divergence problem in Kalman filter.…”

Section: Introductionmentioning

confidence: 99%

Recursive Optimal Finite Impulse Response Filter and Its Application to Adaptive Estimation

Kwon

Kim

2022

Applied Sciences

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In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with optimally estimated initial conditions. The horizon initial state and its error covariance on the horizon are optimally estimated by using recent finite measurements, in the sense of maximum likelihood estimation, then initiating the finite horizon Kalman filter. The optimality and unbiasedness of the proposed filter are proved by comparison with the conventional optimal finite impulse response filter in batch form. Moreover, an adaptive FIR filter is also proposed by applying the adaptive estimation scheme to the proposed recursive optimal FIR filter as its application. To evaluate the performance of the proposed algorithms, a computer simulation is performed to compare the conventional Kalman filter and adaptive Kalman filters for the gas turbine aircraft engine model.

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Weighted average extended FIR filter bank to manage the horizon size in nonlinear FIR filtering

Cited by 15 publications

References 21 publications

Study the Characteristics of FIR filter Based on Modified Kaiser Window

Study the Characteristics of FIR filter Based on Modified Kaiser Window

Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars

Recursive Optimal Finite Impulse Response Filter and Its Application to Adaptive Estimation

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