Six Phase Optimal Sequence Design for Mimo Radar

α
Mr. J. Pandu
Mr. J. Pandu
σ
Dr. C.D.Naidu
Dr. C.D.Naidu
ρ
Dr. N.Balaji
Dr. N.Balaji
α Jawaharlal Nehru Technological University, Hyderabad

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Six Phase Optimal  Sequence Design for Mimo Radar

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Abstract

Radar applications desire a set of sequences with discretely peaky autocorrelation and pair_wise cross correlation. Invade such sequences is a combinal problem. If the autocorrelation and cross correlation are convenient in the a periodic sense then there are hardly any theoretical aids available thus the problem of signal design referred to above is a defying problem for which many global optimization algorithms like ant colony optimization ,artificial bee colony (ABC) algorithm and particle swarm optimization algorithm were reported in the literature. The paper intent at gadget of an efficient optimization algorithm is design to find an optimal pulse compression code useful for radar applications. The proposed optimization algorithm particle swarm optimization algorithm for identifying the optimal pulse compression codes and it is a realtime signal processing solution which identifies optimal sequences.

References

14 Cites in Article
  1. H Deng (2004). Polyphase code design for orthogonal netted radar systems.
  2. E Fishler,A Haimovich,R Blum,D Chizhik,L Cimini,R Valenzuela (2004). MIMO radar: an idea whose time has come.
  3. Charles Cook,Marvin Bernfeld (1993). Optimum Predetection Processing—Matched-Filter Theory.
  4. Nadav Levanon,Eli Mozeson (2004). Radar Signals.
  5. E Fishler,A Haimovich,R Blum,D Chizhik,L Cimini,R Valenzuela (2004). MIMO radar: an idea whose time has come.
  6. F Robey,S Coutts,D Weikle,J Mcharg,K Cuomo (2004). MIMO radar theory and experimental results.
  7. S Singh,K Rao (2008). Discrete frequency-Coded radar signal design.
  8. S Singh,Ksubba Rao (2011). Sixty-phase Sequences Design with Good Autocorrelation Properties.
  9. N Balaji,Kakarlasubba Rao (2012). VLSI-based Real-time Signal Processing Solution Employing Four-phase Codes for Spread-spectrum Applications.
  10. J Pandu,Dr Balaji,Dr Naidu (2014). FPGA based Solution for the Identification of RADAR Pulse Sequences for Defense Applications.
  11. J Pandu,Dr Balaji,Dr Naidu (2014). Optimal Coded Sequence Design for Radar using Fractional Oppositional Particle Swarm Optimization.
  12. Jain Li,Stoica MIMO Radar Signal Processing.
  13. Yuri Abramovich,Gordon Frazer (2008). Bounds on the Volume and Height Distributions for the MIMO Radar Ambiguity Function.
  14. Chun-Yang Chen,P Vaidyanathan (2008). MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr. J. Pandu. 2017. \u201cSix Phase Optimal Sequence Design for Mimo Radar\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F3): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification: FOR Code: 090609
Version of record

v1.2

Issue date

July 24, 2017

Language
en
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Radar applications desire a set of sequences with discretely peaky autocorrelation and pair_wise cross correlation. Invade such sequences is a combinal problem. If the autocorrelation and cross correlation are convenient in the a periodic sense then there are hardly any theoretical aids available thus the problem of signal design referred to above is a defying problem for which many global optimization algorithms like ant colony optimization ,artificial bee colony (ABC) algorithm and particle swarm optimization algorithm were reported in the literature. The paper intent at gadget of an efficient optimization algorithm is design to find an optimal pulse compression code useful for radar applications. The proposed optimization algorithm particle swarm optimization algorithm for identifying the optimal pulse compression codes and it is a realtime signal processing solution which identifies optimal sequences.

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Six Phase Optimal Sequence Design for Mimo Radar

Mr. J. Pandu
Mr. J. Pandu Jawaharlal Nehru Technological University, Hyderabad
Dr. C.D.Naidu
Dr. C.D.Naidu
Dr. N.Balaji
Dr. N.Balaji

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