Application of Weighted Projection PM Algorithm in Estimation of DOA

2013 ◽  
Vol 300-301 ◽  
pp. 746-749
Author(s):  
Wei Wei Hu ◽  
Chang Ming Wang ◽  
Ai Jun Zhang
Keyword(s):  
Signal Subspace ◽  
Steering Vector ◽  
Signal Noise ◽  
Noise Subspace ◽  
Propagator Method ◽  
Simulation Results ◽  
Noise Ratio ◽  
The Relationship

In order to improve the decreasing resolution ability of Propagator Method (PM) algorithm under the environments like low signal noise ratio and small number of snapshots, a new weighted projection PM algorithm is proposed in this paper. This algorithm orthogonalizes noise subspace to get a new one, gains the signal subspace with the relationship between it and noise subspace, and weights the signal subspace and noise subspace with values gained by projecting integral value of steering vector in the field around the signals to each element of subspace. Simulation results show that the proposed method can keep computation simple, and also can decrease signal noise ratio threshold and snapshots threshold, so it has the better resolution ability and higher precision in snapshot deficient and low signal noise ratio scenario.

Beam Width Performance of the Adaptive Beam Former Based on Pseudo-Interference Technique

2012 ◽  
Vol 246-247 ◽  
pp. 1144-1148
Author(s):  
Yi Chu ◽  
Wei Yau Horng ◽  
Shinn Fwu Wang ◽  
Yuan Fong Chau ◽  
Jeng Hua Wei
Keyword(s):  
Output Signal ◽  
Correlation Matrix ◽  
Beam Width ◽  
Approximate Expression ◽  
Side Lobe ◽  
Underlying Structure ◽  
Adaptive Array ◽  
Steering Vector ◽  
Simulation Results ◽  
Noise Ratio

In this paper, we examine the beam width performance of the recently addressed robust Capon beam formers. This adaptive array employs the estimated steering vector, injected noise, and pseudo-interference to provide robustness against direction mismatch. With the generalized side lobe canceller (GSC) as the underlying structure, we first derive the effect of angular mismatch on the estimated interference correlation matrix. Then, a simple approximate expression is presented for output signal-to-interference-plus-noise-ratio (SINR) of this new beam former. Based on this expression, the angular beam width of this robust beam former is investigated. Simulation results verify the analytically predicted performance.

A Modified Least Significant Bit Embedding with Error Correction

2013 ◽  
Vol 284-287 ◽  
pp. 3256-3259
Author(s):  
Hsin Ying Liang ◽  
Chia Hsin Cheng ◽  
Cheng Ying Yang ◽  
Kun Fu Zhang
Keyword(s):  
Error Correction ◽  
Multilevel Coding ◽  
Least Significant Bit ◽  
Signal Noise ◽  
Error Correction Capability ◽  
Simulation Results ◽  
Noise Ratio ◽  
Similar Peak

This paper proposes a modified Least significant bit (LSB) embedding capable of both a high embedding payload and error correction. The method proposed in this paper combines the techniques of both LSB embedding and multilevel coding to produce stego images with error correction capability and high embedding payloads. The proposed method divides cover work into multiple blocks, and each LSB for all the pixels in each block is considered a layer. Reed-Muller codes are used to encode cipher and embed data into every layer. LSB embedding has no inherent capability to correct errors in cipher extraction, but the proposed method can correct some errors according to the error correction capability of multilevel coding. Compared with LSB embedding, simulation results show that the proposed method has a similar peak signal noise ratio (PSNR) and embedding payload. The peak signal noise ratio (PSNR) exceeds 40 dB by using our proposed method. Additionally, our proposed method offers significantly superior embedding payloads and error correction capabilities.

A Correlation Coefficient Estimation Algorithm Based on Subspace Decomposition

2014 ◽  
Vol 989-994 ◽  
pp. 1883-1886
Author(s):  
Na Wu ◽  
Wei Jian Si ◽  
Shu Hong Jiao
Keyword(s):  
Covariance Matrix ◽  
Correlation Coefficient ◽  
Estimation Algorithm ◽  
Signal Subspace ◽  
Subspace Decomposition ◽  
Coefficient Estimation ◽  
Eigen Value ◽  
Simulation Results ◽  
Value Decomposition ◽  
The Relationship

the correlation coefficient estimation algorithm based on subspace decomposition is presented in this paper. The correlation coefficient between the signals is obtained by getting eigen-value decomposition of the data covariance matrix, and deriving the relationship between signal subspace and noise subspace. Simulation results verify that this algorithm can be realized to get the correlation coefficient between two incident signals whose DOA are known and the effect of the correlation coefficient estimation is made by different signal direction angular intervals.

scholarly journals Confidential Cooperative Communication with the Trust Degree of Jammer

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 595
Author(s):  
Mingxiong Zhao ◽  
Di Liu ◽  
Hui Gao ◽  
Wei Feng
Keyword(s):  
Closed Form ◽  
Cooperative Communication ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Secrecy Rate ◽  
Trust Degree ◽  
Simulation Results ◽  
Noise Ratio ◽  
The Relationship

In this paper, we consider the trust degree of a jammer, defined as the probability that the jammer cooperates to secure the legitimate transmission, and investigate its influence on confidential cooperative communication. According to the trust degree, we derive the closed-form optimal transmit signal-to-noise ratio (SNR) of the confidential message, ρ c ⋆ , to maximize the expected secrecy rate, and further obtain the relationship between ρ c ⋆ and the trust degree associated with the transmit SNR at the transmit user and channel gains. Simulation results demonstrate that the trust degree has a great effect on the transmit SNR of the confidential message and helps improve the performance of confidential cooperation in terms of the expected secrecy rate.

A User Selection Algorithm Based on the Combination of Block Diagonalization and SLNR Maximization

2013 ◽  
Vol 347-350 ◽  
pp. 2474-2478
Author(s):  
Wei Hong Fu ◽  
Cheng Wang ◽  
Nai An Liu ◽  
Qing Liang Kong ◽  
Wei Xin Tian
Keyword(s):  
User Selection ◽  
Rate Performance ◽  
Block Diagonalization ◽  
Selection Algorithm ◽  
Signal Noise ◽  
Performance Loss ◽  
Single Antenna ◽  
Sum Rate ◽  
Simulation Results ◽  
Noise Ratio

In this paper, a new precoding scheme is proposed based on the combination of Block Diagonalization (BD) and SLNR (Signal Leakage Noise Ratio) maximization. Then a new user selection algorithm is proposed based on the joint precoding scheme. BD precoding will cause performance loss in the single antenna terminals when the number of terminal antenna is inconsistent. The algorithm we proposed can overcome the drawback by using the maximum SLNR for single-antenna users and BD precoding for multi-antenna users respectively. Simulation results show that the proposed algorithm will enhance the system sum-rate performance significantly when SNR (Signal Noise Ratio) over 5dB. The performance improves by 30% when SNR reaches 20dB.

Signal/Noise Ratio and Elemental Detectivity by Eels

1982 ◽  
Vol 40 ◽  
pp. 488-489
Author(s):  
R. F. Egerton
Keyword(s):  
Energy Loss ◽  
Electron Energy ◽  
Elemental Analysis ◽  
Electron Energy Loss Spectroscopy ◽  
Emission Spectroscopy ◽  
X Ray ◽  
Signal Noise ◽  
Characteristic Signal ◽  
Noise Ratio ◽  
Electron Energy Loss

An important parameter governing the sensitivity and accuracy of elemental analysis by electron energy-loss spectroscopy (EELS) or by X-ray emission spectroscopy is the signal/noise ratio of the characteristic signal.

ASSESSMENT OF THE SIGNAL/NOISE RATIO IN A BINARY SIGNAL

2012 ◽  
Vol 71 (5) ◽  
pp. 445-453
Author(s):  
M. D. Rasnikov ◽  
I. T. Rozhkov
Keyword(s):  
Signal Noise ◽  
Binary Signal ◽  
Noise Ratio

Case Study of Electro-Optical Probing Signal with High Signal-Noise Ratio

2019 ◽  
Author(s):  
Ryan Xiao ◽  
William Wang ◽  
Ang Li ◽  
Shengqiu Xu ◽  
Binghai Liu
Keyword(s):  
Failure Mode ◽  
High Signal ◽  
Signal Noise ◽  
Electrical Failure ◽  
Current Path ◽  
Probing Signal ◽  
Optical Probing ◽  
Noise Ratio ◽  
Case Collection

Abstract With the development of semiconductor technology and the increment quantity of metal layers in past few years, backside EFA (Electrical Failure Analysis) technology has become the dominant method. In this paper, abnormally high Signal Noise Ratio (SNR) signal captured by Electro-Optical Probing (EOP)/Laser Voltage Probing (LVP) from backside is shown and the cause of these phenomena are studied. Based on the real case collection, two kinds of failure mode are summarized, and simulated experiments are performed. The results indicate that when a current path from power to ground is formed, the high SNR signal can be captured at the transistor which was on this current path. It is helpful of this consequence for FA to identify the failure mode by high SNR signal.

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