activity
20182026
most citedCovariance Matching based robust Adaptive Cubature Kalman Filter

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Hybrid LSTM-UKF Framework: Ankle Angle and Ground Reaction Force Estimation

Mundla Narasimhappa, Praveen Kumar

Accurate prediction of joint kinematics and kinetics is essential for advancing gait analysis and developing intelligent assistive systems such as prosthetics and exoskeletons. Thi…

eess.SY2021

A new state estimation approach-Adaptive Fading Cubature Kalman filter

Mundla Narasimhappa

This paper presents a novel adaptive fading cubature Kalman filter (AFCKF) based on double transitive factors. The developed adaptive algorithm is explained in two stages; stage (i…

eess.SY2021★ 1 cited

Covariance Matching based robust Adaptive Cubature Kalman Filter

Mundla Narasimhappa, Sesham Srinu

This letter explores covariance matching-based adaptive robust cubature Kalman filter (CMRACKF). In this method, the innovation sequence is used to determine the covariance matrix…

eess.SY2021

Windowing and random weighting based cubature RTS smoothing for target tracking

Mundla Narasimhappa

This paper presents windowing and random weighting (WRW) based adaptive cubature Rauch Tung Striebel (CRTS) smoother (WRWACRTS). The Unscented KF (WRWUKF) has already existed as an…

eess.SY2018★ 1 cited

Computation of Extended Robust Kalman Filter for Real-Time Attitude and Position Estimation

Gaurav Yengera, Roberto Inoue, Mundla Narasimhappa +1

This paper deals with the implementation of the extended robust Kalman filter (ERKF) which was developed considering uncertainties in the parameter matrices of the underlying state…