Description: This the CRB caculated for an OFDM system to compair belind channel estimation.
CRB is Cramer Rao bound and it is the lowest bound for analyzing the devlopement of algorithms of channel estimation. -This is the CRB caculated for an OFDM system to compair belind channel estimation.
CRB is Cramer Rao bound and it is the lowest bound for analyzing the devlopement of algorithms of channel estimation. Platform: |
Size: 1024 |
Author:samira |
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Description: 计算均匀线性阵DOA估计克拉美罗界的代码-a code for compute Cramer-Rao bound for direction of arrive of uniform linear array Platform: |
Size: 1024 |
Author:潘杰 |
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Description: 对于参数估计问题,克拉美罗界(简称CRB)为任何无偏估计量的方差确定了一个下限. 即不可能求得方差小于下限的无偏估计量,并为比较无偏估计量的性能提供了一个标准. 本程序对CLRB（克拉美罗下界）进行了描述，预留了参数。 希望能对同志们提供帮助。-For the parameter estimation problem, Cramer-Rao bound (referred to as CRB) for any unbiased estimator of variance to determine a lower limit that can not be obtained is less than the minimum variance unbiased estimator and unbiased estimator for comparing the performance of provides a standard procedure for this CLRB (Cramer-Rao lower bound) for a description of the reserved parameters. Hoping to help comrades. Platform: |
Size: 2048 |
Author:张威 |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation. Platform: |
Size: 551936 |
Author:santhu |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation. Platform: |
Size: 277504 |
Author:santhu |
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Description: 基于Fisher information的优化阵列设计，使用穷举法和迭代法得到优化阵列，再基于最大似然估计研究其MSE、克拉美罗界等性能。-Fisher information based on the optimized array design, use brute-force methods and iterative methods optimize the array, and then based on the maximum likelihood estimation study the MSE performance of Cramer-Rao Bound. Platform: |
Size: 2048 |
Author:冯文 |
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Description: < Channel, Phase Noise, and Frequency Offset in OFDM Systems Joint Estimation, Data Detection, and Hybrid Cramer-Rao Lower Bound>>-Channel, Phase Noise, and Frequency Offset in OFDM Systems Joint Estimation, Data Detection, and Hybrid Cramer-Rao Lower Bound Platform: |
Size: 479232 |
Author:wang |
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Description: This code describes algorithms for Time Delay Estimation (TDE), TDOA (time delay of arrival) between BSS and MS. Algorithm: FANG, SI, CHAN, SX, Taylor serie, Least Square, FWLS were detailed. TESTED and WORKED !!! Cramer-Rao bound for each algorithm also was presented.
Hope it help you in your work !!!
Platform: |
Size: 25600 |
Author:Lonely Ghost |
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