scholarly journals Performance enhancement of MPM using SNR boosting techniques

2016 ◽  
Vol 5 (4) ◽  
pp. 115
Author(s):  
Shimaa Mamdouh ◽  
Amr Hussein ◽  
Hamdy Elmekaty
Keyword(s):  
Signal Processing ◽  
Performance Enhancement ◽  
Mimo Systems ◽  
Signal To Noise Ratio ◽  
Matrix Pencil ◽  
Doa Estimation ◽  
Least Square ◽  
Test Case ◽  
Recursive Least Square ◽  
Low Snr

Signal to noise ratio (SNR) boosting is one of the most important research areas in signal processing. The effectiveness of SNR boosting is not limited to a specific application rather, it is widely used in image processing, signal processing, cognitive radio, MIMO systems, digital beam forming, and direction of arrival (DOA) estimation …etc. In this paper, the recursive least square (RLS) and wavelet based de-noising filters are exploited for SNR boosting in DOA estimation techniques for further performance enhancement. The matrix pencil method (MPM) as an effortlessness and high resolution DOA estimation technique is taken as a test case. That is because it suffers from performance deterioration under low SNR regimes. The simulation results reveal that the MPM based RLS de-noising filter outperforms the MPM based wavelet de-noising filter and the traditional MPM in terms of mean square error (MSE) especially at low SNR regimes.

scholarly journals Performance enhancement of MPM DoA estimation technique using wavelet De-noising filter

2016 ◽  
Vol 5 (3) ◽  
pp. 66
Author(s):  
Amr Hussein ◽  
Sameh Napoleon ◽  
Haidy Eldawy
Keyword(s):  
Performance Enhancement ◽  
Signal To Noise Ratio ◽  
Super Resolution ◽  
Matrix Pencil ◽  
Doa Estimation ◽  
Estimation Technique ◽  
Matrix Pencil Method ◽  
Performance Deterioration ◽  
Radar Applications

Direction-of-arrival (DoA) estimation is now an imperative part in many radar applications and localization techniques. There are numerous algorithms that have been studied in the previous decades for DoA, for example: MUSIC, ESPRIT, and Matrix Pencil Method (MPM), which are subspace super resolution methods. MPM is one of the most commonly used subspace based techniques. It is generally utilized for DoA estimation because of its effortlessness and high resolution contrasted with other subspace techniques. But, it suffers from performance deterioration under low Signal-to-Noise Ratio (SNR) conditions. This paper, explores the possibility of utilizing the wavelet de-noising technique to intercept the degradation in the performance of MPM under different SNR values. Wavelet De-noising is intended to remove noise or distortion from signals while retaining the original quality of the signal. The simulation results indicate that the Daubechies wavelet (db12) at 5 levels of decomposition is the most suitable wavelet for de-noising the signals under test. Also, the results show that the proposed wavelet de-noising matrix pencil method (WDMPM) outperforms the traditional MPM.Performance Enhancement of MPM DoA Estimation Technique using Wavelet De-noising Filter

In Coherent Scenes an Uncorrelated Noise Filtering Method for DOA Estimation at Low SNR

2012 ◽  
Vol 546-547 ◽  
pp. 862-867
Author(s):  
Chang He Yu ◽  
Jian Li Li
Keyword(s):  
Signal Processing ◽  
Signal To Noise Ratio ◽  
Doa Estimation ◽  
Noise Power ◽  
Noise Filtering ◽  
Signal Processing Algorithm ◽  
Uncorrelated Noise ◽  
Filtering Method ◽  
Low Snr ◽  
Actual Signal

As we all know, noise always exists in any actual signal processing systems; its strength largely determines the working performance of one signal processing algorithm. Once the noise power is higher, many classical algorithms will lose the ability of the solution. In this paper, we propose a novel robust uncorrelated noise filtering method for direction of arrival (doa) estimation at low signal-to-noise ratio (snr) in coherent environment. Under the assumption of uncorrelated noise the proposed method can remove the uncorrelated noise variances from an array covariance matrix effectively. The characteristics of signal coherency structures and the simulation results using the novel method are presented.

scholarly journals Parameter Identification of Super Capacitor using Recursive Least Square Technique

2020 ◽  
Vol 9 (7) ◽  
pp. 356-359
Keyword(s):  
Signal Processing ◽  
Parameter Identification ◽  
Processing System ◽  
Electrical Energy ◽  
Least Square ◽  
Maximum Efficiency ◽  
Recursive Least Square ◽  
Super Capacitor ◽  
Signal Processing System ◽  
Parameter Values

Super capacitor is an electrical invention which store electrical energy in the form of charge and discharge it very fast, unlike the batteries. Any device require almost ideal parameters for proper functioning. This paper emphasises on the parameter detection of SC two arm design using recursive least square technique which adaptively reduces the error. In this paper, we assumes the parameter values to obtain input values of our technique then by using signal processing system, results are obtained. Results are also compared with the actual parameter values graphically. Ideal devices have minimum losses and so the maximum efficiency is obtained.

scholarly journals Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal

2018 ◽  
Vol 36 (2) ◽  
pp. 270-275
Author(s):  
Haixia Jing ◽  
Haiyan Wang ◽  
Zhengguo Liu ◽  
Xiaohong Shen ◽  
Zhichen Zhang
Keyword(s):  
Time Reversal ◽  
Array Signal Processing ◽  
Signal To Noise Ratio ◽  
Doa Estimation ◽  
Shallow Sea ◽  
Estimation Model ◽  
Signal To Noise ◽  
Active Time ◽  
Low Snr ◽  
Processing Theory

Time reversal technique is applied to the DOA estimation of a shallow sea target, and a method based on active time reversal (ATR) is proposed to achieve correct estimation under multipath and low signal-to-noise (SNR) conditions. Combining the classical ray theory with array signal processing theory, the conventional multipath DOA estimation model based on uniform line array and the ATR-based DOA estimation model are set up respectively. The Capon algorithm is employed to simulate the models and compare it with conventional one. The simulation results show that the ATR-based estimation model can better estimate the azimuth angle of the target than the conventional counterpart, provide higher resolution and better suppress side lobes with the same signal-to-noise ratio (SNR), especially the low SNR.

scholarly journals Performance Evaluation of OFDM System using Pseudo-Pilots with Particle Swarm & Moth Flame (Hybrid) Optimization

2019 ◽  
Vol 8 (9S) ◽  
pp. 127-130
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Transmission Rate ◽  
Signal To Noise Ratio ◽  
Particle Swarm ◽  
Least Square ◽  
Coherent Detection ◽  
Receiver Design ◽  
Recursive Least Square ◽  
High Data

This paper is focused on the advanced signal processing techniques for the multi-carrier modulation especially on the orthogonal frequency division multiplexing (OFDM). OFDM has high data rate and robust against the frequency selective multi-path channels. Channel estimation is crucial for the receiver design in coherent detection. In this paper we are investigating and examining the pilot aided system for channel estimation and its special effects on the performance of the OFDM based system. In this paper new technique is proposed which make use of conventional Least Square (LS) and Recursive Least Square (RLS) hybridization techniques for the channel estimation afterwards we apply Particle Swarm Optimization (PSO) and Hybrid PSO (PSO+ Moth Flame Optimization(MFO)) optimization for obtaining more optimize techniques. In the proposed system, to estimate channel impulse response we are using pseudo-pilots instead to pilots as it is useful to overcome the pilot overhead and decrease the complexity by using pseudo random symbol (PRS). The performance of the proposed techniques and the weighted scheme are compared and verified using computerized simulation carried out using Matrix Laboratory (MATLAB) software. It is demonstrated on the basis of graph between BER and signal to Noise Ratio (Eb/NO), that the proposed technique reduces the execution time and increase the transmission rate with low or zero overhead.

scholarly journals An OPMA for Robust Mutual Coupling Coefficients Estimation of URA with Single Snapshot in MIMO HF Sky-Wave Radar

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Yuguan Hou ◽  
Qingguo Jin ◽  
Shaochuan Wu ◽  
Zhuoming Li
Keyword(s):  
Mutual Coupling ◽  
Signal To Noise Ratio ◽  
Mean Shift ◽  
Success Probability ◽  
Doa Estimation ◽  
Coupling Coefficients ◽  
Music Algorithm ◽  
Low Snr ◽  
Wave Radar ◽  
Single Snapshot

Due to the fluctuation of the signal-to-noise ratio (SNR) and the single snapshot case in the MIMO HF sky-wave radar system, the accuracy of the online estimation of the mutual coupling coefficients matrix of the uniform rectangle array (URA) might be degraded by the classical approach, especially in the case of low SNR. In this paper, an Online Particle Mean-Shift Approach (OPMA) is proposed, which is to get a relatively more effective estimation of the mutual coupling coefficients matrix with the low SNR. Firstly, the spatial smoothing technique combined with the MUSIC algorithm of URA is introduced for the DOA estimation of the multiple targets in the case of single snapshot which are taken as coherent sources. Then, based on the idea of the particle filter, the online particles with a moderate computational complexity are used to generate some different estimation results. Finally, the mean-shift algorithm is applied to get a more robust estimate of the equivalent mutual coupling coefficients matrix. The simulation results demonstrate the validity of the proposed approach in terms of the success probability, the statistics of bias, and the variance. The proposed approach is more robust and more accurate than the other two approaches.

scholarly journals CONTROL AND ESTIMATION OF BIOLOGICAL SIGNALS (ECG) USING ADAPTIVE SYSTEM

2014 ◽  
pp. 236-240
Author(s):  
SUSHANTA MAHANTY ◽  
ALOK RANJAN
Keyword(s):  
Signal To Noise Ratio ◽  
Computation Time ◽  
Noise Removal ◽  
Least Square ◽  
Ecg Signal ◽  
Least Mean Square ◽  
Performance Study ◽  
Recursive Least Square ◽  
Adaptive Filtration ◽  
Adaptive Noise

In this paper, we present a simple and efficient adaptive noise removal technique for de-noising the (ECG) signal. There are different techniques earlier used for de-noising the ECG signal ,adaptive filtration like least mean square (LMS), NLMS, BLMS , etc. In this paper we used recursive least square technique for adaptive filtration. The power line noises have been implemented according to their basic properties. After that, these noises have been mixed with ECG signal and nullify these noises using the LMS,NLMS and the RLS algorithms. Finally a performance study has been done between these algorithms based on their parameters and also discussed the effect of filter length and the corresponding signal to noise ratio. Results indicate that the noises cannot be handled by the LMS filtering whereas the RLS can handle these types of noises. Furthermore, most of the cases the RLS has achieved best effective noise cancellation performance although its computation time is slightly high. We are using the RLS Algorithm by matlab for simulation.

Design and Implementation of Recursive Least Square Adaptive Filter Using Block DCD approach

2015 ◽  
Vol 4 (3) ◽  
pp. 209
Author(s):  
Sachin S. Khanande ◽  
S.J. Honade
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Adaptive Filter ◽  
High Speed ◽  
Large Scale ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Least Square ◽  
Recursive Least Square ◽  
Design And Implementation

<p>Due to the explosive growth of multimedia application and tremendous demands in Very Large Scale Integrated (VLSI), there is a need of high speed and low power digital filters for digital signal processing applications. In Digital Signal Processing (DSP) systems, Finite Impulse Response (FIR) filters are one of the most common components which is used, by convolving the input data samples with the desired unit sample response of the filter. The proposed work deals with the design and implementation of RLS adaptive filter using block DCD approach. The evaluation of speed, area and power for proposed work will be done. Also, the comparison of the proposed design with the existing will be carried out for various input combinations.</p>

Improved TOPS about Direction of Arrival Estimation for Wideband Signals

2011 ◽  
Vol 105-107 ◽  
pp. 2051-2054
Author(s):  
Bin He
Keyword(s):  
Signal To Noise Ratio ◽  
Full Rank ◽  
Poor Performance ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Signal Subspace ◽  
Low Snr ◽  
Wideband Signals ◽  
Array Aperture ◽  
Array Output

The study about the direction-of-arrival (DOA) estimation for wideband signals is a basic topic of Signal Processing. The method called test of orthogonality of projected subspaces (TOPS) does not require initial values to form focusing matrix compared with the coherent signal subspace method (CSSM), but it has poor performance for coherent wideband signals at low signal-to-noise ratio (SNR). Based on the lack of the conventional TOPS, this paper reconstructs a set of new matrices with the narrowband correlated matrices coming from the DFT decomposition of the array output and modifies the method frame of the conventional TOPS. So we get a set of reconstructed matrices with full rank corresponding to each frequency bin, and which have no array aperture loss. The improved TOPS can estimate the DOA for coherent wideband sources at low SNR, and enhances the performance of the conventional TOPS. Simulation results show that the improved TOPS is effective, and the total performance of which is similar to the rotational signal-subspace (RSS) method.

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