A Novel Constrained Waveform Designing for MIMO RADAR Using Optimization Algorithms

Bhamre, Pooja; Gupta, Shilpi

doi:10.1080/02564602.2019.1671905

Cited by 3 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rankings of cation and anion are calculated according to ( 19) and (20). Note that different types of ions are updated according to ( 21)- (25).…”

Section: Implementation Processmentioning

confidence: 99%

“…These improvements are gained by using the diversity of transmitting waveforms [13][14][15]. Currently, there are three main types of waveform designs and diversity methods, which are used to improve the signal-to-interference-plusnoise ratio (SINR) [4,5,8,[16][17][18], beampattern shaping [6,11,[19][20][21], and the correlation property [3,[10][11][12][13][14][15][22][23][24][25]. The waveform design and diversity provide a distinctive ability that enable MIMO radars to be used widely in various fields [26][27][28], such as remote sensing, missile seekers, and resource exploration.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion

Zhang

Wen

2021

Remote Sensing

View full text Add to dashboard Cite

Orthogonal waveform design is one of the key technologies that affects the detection performance of MIMO radars. Most of the existing methods indirectly tackle this problem as an intractable nonconvex optimization and an NP-hard problem. In this work, we propose a novel waveform design algorithm based on intelligent ions motion optimization (IMO) to directly obtain a set of polyphase codes with good orthogonality. The autocorrelation sidelobe and cross-correlation sidelobe are first derived and subsequently integrated into evaluation functions for evaluating the orthogonality of polyphase codes. In order to effectively cope with the aforementioned problem, we present a strengthened IMO that is highly robust and converges rapidly. In the liquid state, an optimal guiding principle of same-charge ions is suggested to enhance global search ability and avoid falling into local optima. An ion updating strategy based on fitness ranking is presented to improve the search efficiency in the crystal state. Finally, the improved algorithm is employed to optimize the polyphase codes. The experimental results, compared with other state-of-the-art algorithms, show that the polyphase codes obtained by the proposed algorithm have better orthogonality.

show abstract

“…The rankings of cation and anion are calculated according to ( 19) and (20). Note that different types of ions are updated according to ( 21)- (25).…”

Section: Implementation Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion

Zhang

Wen

2021

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…RADAR is used in various applications such as aircraft detection, space applications and weather formations. The RADAR uses high-frequency radio waves to detect the moving objects’ angle, range and velocity (Uysal and Orru, 2020; Bhamre and Gupta, 2020a). The RADAR has the properties of coherency, autocorrelation, cross-correlation, etc.…”

Section: Introductionmentioning

confidence: 99%

FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

Rao¹,

V.²

2022

IJPCC

View full text Add to dashboard Cite

Purpose The purpose of this research is to design and develop a technique for polyphase code design for the radar system. Design/methodology/approach The proposed fractional harmony search algorithm (FHSA) performs the polyphase code design. The FHSA binds the properties of the harmony search algorithm and the fractional theory. An optimal fitness function based on the coherence and the autocorrelation is derived through the proposed FHSA. The performance metrics such as power, autocorrelation and cross-correlation measure the efficiency of the algorithm. Findings The performance metrics such as power, autocorrelation and cross-correlation is used to measure the efficiency of the algorithm. The simulation results show that the proposed optimal phase code design with FHSA outperforms the existing models with 1.420859, 4.09E−07, 3.69E−18 and 0.000581 W for the fitness, autocorrelation, cross-correlation and power, respectively. Originality/value The proposed FHSA for the design and development of the polyphase code design is developed for the RADAR is done to reduce the effect of the Doppler shift.

show abstract

Modelling of a Nonlinear Fuzzy Three-Input PID Controller and Its Simulation and Experimental Realization

Sain

Mohan

2020

IETE Technical Review

View full text Add to dashboard Cite

A Novel Constrained Waveform Designing for MIMO RADAR Using Optimization Algorithms

Cited by 3 publications

References 29 publications

A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion

A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion

FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

Modelling of a Nonlinear Fuzzy Three-Input PID Controller and Its Simulation and Experimental Realization

Contact Info

Product

Resources

About