scholarly journals Simulation and Performance Analysis of Chaotic Sequences using Enhanced Cuckoo Search Optimization Method

2019 ◽  
Vol 8 (4) ◽  
pp. 10225-10231
Keyword(s):  
Adaptive Filters ◽  
Pulse Compression ◽  
Matched Filter ◽  
Search Algorithm ◽  
Signal To Noise Ratio ◽  
Cuckoo Search ◽  
Optimization Method ◽  
Chaotic Sequence ◽  
Radar Signal ◽  
Linear Filter

The mostdesirable property required for pulse compression is that the output should have low peak sidelobes that prevent weaker targets from being masked off in the nearby strong targets. Pulse compression can be obtained with matched filter. Matched filter is an optimal linear filter used in radar signal processing and various communication fields to increase the signal to noise ratio. The output of matched filter consists of unavoidable sidelobes which causes false alarm for multiple target detection in many radar system design.For this purpose, mismatched filter is used after matched filter. Inthis paper a new method of design of mismatched filter is discussed which reduces these sidelobes in the compressed waveform. Here new version of cuckoo search algorithm is used along with differential evolution techniquefor complete design of proposed filter to compare the performance of chaotic sequence. The performance of pulse compression is measured in terms of peak sidelobe ratio. The simulation results showthatdevelopmentin the performance of chaotic sequence is obtained at the output of cascaded filter. And further improved performance is achieved with adaptive filters

scholarly journals Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

2019 ◽  
Vol 9 (2S3) ◽  
pp. 93-97
Keyword(s):  
Pulse Compression ◽  
Filter Design ◽  
Matched Filter ◽  
Search Algorithm ◽  
Short Pulse ◽  
Cuckoo Search ◽  
Optimization Techniques ◽  
Radar Signal ◽  
Lévy Flight ◽  
Levy Flight

In radar signal processing pulse compression has been extensively used which solves the problem of maintaining simultaneously high transmit energy of long pulse and large range resolution of short pulse. The concept of pulse compression can be best understood from matched filtering that determines the ratio of peak of the sidelobe to peak value of mainlobe. But the resolution of weak targets from stronger one is difficult due to range sidelobes in the auto-correlation pattern of matched filter. With this idea of reducing these sidelobes, various optimization techniques are used. This paper represents a method to optimize the performance of chaotic sequence using mismatched filter. The optimization completely depends on the design of coefficients of mismatched filter at the receiver side. Here improved cuckoo search method is used instead of Lévy flight cuckoo search with the differential evolution technique to complete the design of cascaded mismatched filter. Finally, improved results are obtained as compared to Lévy flight method of cuckoo search.

scholarly journals Comparison of the performance of different radar pulse compression techniques in an incoherent scatter radar measurement

2009 ◽  
Vol 27 (2) ◽  
pp. 797-806 ◽  
Author(s):  
B. Damtie ◽  
M. S. Lehtinen
Keyword(s):  
Adaptive Filtering ◽  
Pulse Compression ◽  
Matched Filter ◽  
Signal To Noise Ratio ◽  
Minimum Mean Square Error ◽  
Radar Signal ◽  
Incoherent Scatter Radar ◽  
Low Snr ◽  
Incoherent Scatter ◽  
Scatter Radar

Abstract. Improving an estimate of an incoherent scatter radar signal is vital to provide reliable and unbiased information about the Earth's ionosphere. Thus optimizing the measurement spatial and temporal resolutions has attracted considerable attention. The optimization usually relies on employing different kinds of pulse compression filters in the analysis and a matched filter is perhaps the most widely used one. A mismatched filter has also been used in order to suppress the undesirable sidelobes that appear in the case of matched filtering. Moreover, recently an adaptive pulse compression method, which can be derived based on the minimum mean-square error estimate, has been proposed. In this paper we have investigated the performance of matched, mismatched and adaptive pulse compression methods in terms of the output signal-to-noise ratio (SNR) and the variance and bias of the estimator. This is done by using different types of optimal radar waveforms. It is shown that for the case of low SNR the signal degradation associated to an adaptive filtering is less than that of the mismatched filtering. The SNR loss of both matched and adaptive pulse compression techniques was found to be nearly the same for most of the investigated codes for the case of high SNR. We have shown that the adaptive filtering technique is a compromise between matched and mismatched filtering method when one evaluates its performance in terms of the variance and the bias of the estimator. All the three analysis methods were found to have the same performance when a sidelobe-free matched filter code is employed.

An Improved Cuckoo Search based Optimal Ranged Brightness Preserved Histogram Equalization and Contrast Stretching Method

2017 ◽  
Vol 8 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Krishna Gopal Dhal ◽  
Md. Iqbal Quraishi ◽  
Sanjoy Das
Keyword(s):  
Objective Function ◽  
Optimization Problems ◽  
Signal To Noise Ratio ◽  
Cuckoo Search ◽  
Histogram Equalization ◽  
Chaotic Sequence ◽  
Population Diversity ◽  
Optimal Range ◽  
Novel Variant ◽  
Contrast Stretching

This paper is organized into two main parts. In the first part, two methods have been discussed to preserve the original brightness of the image which are Parameterized transformation function and a novel variant of modified Histogram Equalization (HE) method. In this study both methods have been formulated as optimization problems to increase the efficiency of the corresponding methods within reasonable time. In the second part, a novel modified version of Cuckoo Search (CS) algorithm has been devised by using chaotic sequence, population diversity information etc to solve those formulated optimization problems. A new Co-occurrence matrix's features based objective function is also devised to preserve the original brightness. Peak-signal to noise ratio (PSNR) acts as objective function to find optimal range of enhanced images. Experimental results prove the supremacy of the proposed CS over traditional CS algorithm.

scholarly journals Performance of Ternary Sequence using Basic Cuckoo Search Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 71-75
Keyword(s):  
Matched Filter ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Matched Filtering ◽  
Detection Range ◽  
Range Resolution ◽  
Auto Correlation ◽  
Radar Applications ◽  
Random Codes

Matched filtering is broadly used in various radar applications and communication fields whose output indicates some range sidelobes which may mask some stronger targets. This problem can be overcome by using mismatched filter after the matched filter which increases the performance that is in terms of peak sidelobe ratio. The proposed algorithm is suitable to obtain superior performancein range resolution and detection range simultaneously. The characteristics of chaotic codes such as auto-correlation and cross-correlation are same as random codes. So the input is considered as binary and ternary chaotic sequence which is undergone matched filtering process which is then undergo mismatched filter for further reduction in the sidelobe levels. The design of mismatched filter is adapted with cuckoo search algorithm that uses Lévydistribution. It is observed that the performance of the ternary sequence is significantly improved at the output and this method is extended to various length of ternary sequences.

scholarly journals Economic and emission dispatch using cuckoo search algorithm

2019 ◽  
Vol 9 (5) ◽  
pp. 3384
Author(s):  
Rachid Habachi ◽  
Abdellah Boulal ◽  
Achraf Touil ◽  
Abdelkabir Charkaoui ◽  
Abdelwahed Echchatbi
Keyword(s):  
Brood Parasitism ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Energy Systems ◽  
Cuckoo Search ◽  
Optimization Method ◽  
Cuckoo Search Algorithm ◽  
Heuristic Optimization ◽  
Generator System ◽  
Emission Dispatch

<p class="Default">The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes the use of Cuckoo Search Algorithm (CSA) for solving the economic and Emission dispatch. The effectiveness of the proposed approach has been tested on 3 generator system. CSA is a new meta-heuristic optimization method inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species.The results shows that performance of the proposed approach reveal the efficiently and robustness when compared results of other optimization algorithms reported in literature</p>

Noise Removal from EMG Signal Using Adaptive Enhanced Squirrel Search Algorithm

2020 ◽  
Vol 19 (04) ◽  
pp. 2050039
Author(s):  
B. Nagasirisha ◽  
V. V. K. D. V. Prasad
Keyword(s):  
Adaptive Filters ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Maximum Error ◽  
Noise Removal ◽  
Least Square ◽  
Mean Square ◽  
Least Mean Square ◽  
Recursive Least Square ◽  
Emg Signal

Electromyogram (EMG) signals are mostly affected by a large number of artifacts. Most commonly affecting artifacts are power line interference (PLW), baseline noise and ECG noise. This work focuses on a novel attenuation noise removal strategy which is concentrated on adaptive filtering concepts. In this paper, an enhanced squirrel search (ESS) algorithm is applied to remove noise using adaptive filters. The noise eliminating filters namely adaptive least mean square (LMS) filter and adaptive recursive least square (RLS) filters are designed, which is correlated with an ESS. This novel algorithm yields better performance than other existing algorithms. Here the performances are measured in terms of signal-to-noise ratio (SNR) in decibel, maximum error (ME), mean square error (MSE), standard deviation, simulation time and mean value difference. The proposed work has been implemented at the MATLAB simulation platform. Testing of their noise attenuation capability is also validated with different evolutionary algorithms namely squirrel search, particle swarm optimization (PSO), artificial bee colony (ABC), firefly, ant colony optimization (ACO) and cuckoo search (CS). The proposed work eliminates the noises and provides noise-free EMG signal at the output which is highly efficient when compared with existing methodologies. Our proposed work achieves 4%, 40%, 4%, 7%, 9% and 70% better performance than the literature mentioned in the results.

scholarly journals Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Yaohua Lin ◽  
Cuiping Zhang ◽  
Zhong Liang
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Chaotic Sequence ◽  
Constant Factor ◽  
Effectiveness And Efficiency

This paper proposes a hybrid factor strategy for cuckoo search algorithm by combining constant factor and varied factor. The constant factor is used to the dimensions of each solution which are closer to the corresponding dimensions of the best solution, while the varied factor using a random or a chaotic sequence is utilized to farer dimensions. For each solution, the dimension whose distance to the corresponding one of the best solution is shorter than mean distance of all dimensional distances will be regarded as the closer one, otherwise as the farer one. A suit of 20 benchmark functions are employed to verify the performance of the proposed strategy, and the results show the improvement in effectiveness and efficiency of the hybridization.

scholarly journals A hybrid cuckoo–harmony search algorithm for optimal design of water distribution systems

2015 ◽  
Vol 18 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Razi Sheikholeslami ◽  
Aaron C. Zecchin ◽  
Feifei Zheng ◽  
Siamak Talatahari
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Cuckoo Search ◽  
Search Space ◽  
Optimization Method

Meta-heuristic algorithms have been broadly used to deal with a range of water resources optimization problems over the past decades. One issue that exists in the use of these algorithms is the requirement of large computational resources, especially when handling real-world problems. To overcome this challenge, this paper develops a hybrid optimization method, the so-called CSHS, in which a cuckoo search (CS) algorithm is combined with a harmony search (HS) scheme. Within this hybrid framework, the CS is employed to find the promising regions of the search space within the initial explorative stages of the search, followed by a thorough exploitation phase using the combined CS and HS algorithms. The utility of the proposed CSHS is demonstrated using four water distribution system design problems with increased scales and complexity. The obtained results reveal that the CSHS method outperforms the standard CS, as well as the majority of other meta-heuristics that have previously been applied to the case studies investigated, in terms of efficiently seeking optimal solutions. Furthermore, the CSHS has two control parameters that need to be fine-tuned compared to many other algorithms, which is appealing for its practical application as an extensive parameter-calibration process is typically computationally very demanding.

scholarly journals A Novel Design of Matched Filter for Digital Receivers

2019 ◽  
Vol 8 (3) ◽  
pp. 6000-6003
Keyword(s):  
Pulse Compression ◽  
Filter Design ◽  
Matched Filter ◽  
Signal To Noise Ratio ◽  
Digital Signal ◽  
Receiver System ◽  
Digital Pulse ◽  
Pros And Cons ◽  
Processing Techniques ◽  
Digital Receivers

In this paper, a brief review regarding introduction to the digital signal processing techniques particularly Digital Pulse Compression and Linear Frequency Modulation involved in matched filtering and some designs being used is presented. Also, the matched filter being developed is discussed by highlighting its pros and cons. The introduction of matched filter in the communication receivers has simplified the design of the system. The matched filter has improved the signal to noise ratio of the receiver system and hence has become an important element in the communication system. This paper also presents the possible challenges; the matched filter design and simulation results in MATLAB have shown satisfactory outputs of the receiver.

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