scenarios varying algorithm numbers paths
Research gap analysis derived from 2 engineering papers in our local library.
The gap
The paper focuses only on multipath scenarios with 10 paths; the performance of the enhanced Kalman algorithm under other channel conditions and varying numbers of multipath components is not investigated.; The simulations were carried out only with a fixed number of paths = 10 and 1000 iterations; evaluation with varying numbers of paths and iteration counts across different scenarios is not explored.; The scalability of the enhanced Kalman algorithm to systems with more than 4 users is not...
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 4 representative gaps
- Improving the Spectral Efficiency of Multiuser Multiple Antenna Millimeter Wave System Using Enhanced Kalman-Based Hybrid Precoder (2026) · doi
The simulations were carried out only with a fixed number of paths = 10 and 1000 iterations; evaluation with varying numbers of paths and iteration counts across different scenarios is not explored.
Keywords: paths simulations carried fixed number iterations evaluation varying numbers iteration counts across different scenarios explored - Improving the Spectral Efficiency of Multiuser Multiple Antenna Millimeter Wave System Using Enhanced Kalman-Based Hybrid Precoder (2026) · doi
The paper focuses only on multipath scenarios with 10 paths; the performance of the enhanced Kalman algorithm under other channel conditions and varying numbers of multipath components is not investigated.
Keywords: multipath focuses scenarios paths performance enhanced kalman algorithm channel conditions varying numbers components investigated - Improving the Spectral Efficiency of Multiuser Multiple Antenna Millimeter Wave System Using Enhanced Kalman-Based Hybrid Precoder (2026) · doi
The scalability of the enhanced Kalman algorithm to systems with more than 4 users is not explored, limiting understanding of its performance in larger multiuser scenarios.
Keywords: scalability enhanced kalman algorithm systems users explored limiting understanding performance larger multiuser scenarios - Fading Noise Reduction in Distributed Acoustic Sensing With Singular Value Decomposition-Nonlocal Means Filtering (2026) · doi
The paper does not discuss the algorithm's performance under varying noise levels or different types of fading noise beyond the tested scenarios.
Keywords: noise discuss algorithm performance varying levels different types fading beyond tested scenarios
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