Robust and low complexity delay estimation
Webthe CSIT estimation noise or the outdatedness of the CSIT resulting from duplexing delay. In [4]–[6], the authors consider robust beamforming design to maximize the sum goodput [4], minimize the MMSE [5] or the transmit power [6] of the down-link MU-MIMO system subject to either the worst-case SINR
Robust and low complexity delay estimation
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WebNov 1, 2024 · In recent years, robust distributed estimation techniques in distributed networks have drawn the attention of the signal processing community. There have been many advancements in the robust distributed parameter estimation methods in the past few years and we can say that this field is still less explored in many aspects. WebMay 1, 2024 · Besides, a less conservative delay-dependent robust passivity criterion is obtained. Finally, five numerical examples are given to show the effectiveness and less …
WebJan 30, 2024 · Robust Gridless Estimation of Angles and Delays for Full-Dimensional Wideband mmWave Channels Abstract: In this paper, we consider robust channel estimation for a millimeter wave (mmWave) massive MIMO system with uniform planar arrays (UPA). WebThis paper evaluates the implementation of a low-complexity adaptive full direct-state Kalman filter (DSKF) for robust tracking of global navigation satellite system (GNSS) signals. The full DSKF includes frequency locked loop (FLL), delay locked loop (DLL), and phase locked loop (PLL) tracking schemes. The DSKF implementation in real-time applications …
WebThe method has low complexity and is robust against (linear and) nonlinear signal distortion. Our experiments on representative signals confirm that the method performs significantly … WebThe algorithm is used in a robust hypothesize-and-test framework to estimate structure and motion in real-time with low delay and is the first algorithm well-suited for numerical implementation that also corresponds to the inherent complexity of the problem.
Webincludes fine and coarse estimation steps is proposed. However, it requires a high-complexity architecture, particularly in coarse estimation block. Similar to [5] and [6], the accuracy of the algorithm in [7] also relies on the SNR estimation. In this paper, a robust and low-complexity scheme for timing synchronization suitable for ADSRC ...
WebRobust and Low Complexity Delay Estimation. Björn Völcker, W. Bastiaan Kleijn. Robust and Low Complexity Delay Estimation. In IWAENC 2012 - International Workshop on Acoustic … f150 mpg while towing 6x12 enclosed trailerWebSep 1, 2024 · Any time delay estimation method for ultrasonography that offers a fair compromise among accuracy, computational efficiency, and processing speed can be considered ideal [ 43 ]. Based on these considerations, a robust EVD-based method is presented in this study, which provides better simplicity and convergence speed than … does dirty hair take color betterWebApr 15, 2024 · In this work, for a two-dimensional radar tracking system, a new implementation of the robust adaptive unscented Kalman filter is investigated. This … does directx come with windows 10WebSep 6, 2012 · Robust and Low Complexity Delay Estimation Abstract: Modern echo control algorithms, both those based on echo cancellation and echo suppression, benefit from an external estimate of the delay between the loudspeaker and microphone signals. In echo … We propose a delay estimation algorithm that, in its simplest form, counts for each … f150 molded lead frame recallWebdifficulty of estimating precise time delay in power plant boiler under low time-varying SNR, An explicit time delay gain estimation algorithm based on fourth-order cumulant is studied. Literature [16] proposes a non-integer adaptive time delay estimation method based on minimum mean p-norm, it is called LMPFTDE algorithm and has good robustness in does dirty water affect plant growthWebApr 1, 2024 · A joint time delay and Doppler shift estimation of unknown wideband signals is studied in the sense that the variation of time delay over time and the migration of Doppler shift over signal frequency cannot be neglected. By partitioning the received signals into short time segments, a novel wideband signal model is proposed. f150 mounted snow blowerWebDec 26, 2024 · Modeling a wireless channel is a time consuming process which involves measurement campaigns in various environments and then fitting the right statistical model for each measurement scenario. In... does dirty hair grow faster