Waveform Design for Improved Range and Doppler Resolution in Radar

Farid, Ghulam; Rosli, Siti Julia; Ghani, Alif Hasmani Abd.; Ahmed, Reaz

doi:10.1109/isms.2012.24

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…There are two crucial features of such sequences. One is the Energy Ratio (ER), which is defined as the total sequence energy ratio to the most significant pulse energy [48]. The other property is total Sidelobe Energy (SLE), i.e., energy in the sidelobes of the ACF of the sequence.…”

Section: Related Work 21 General Fundamental For Designing Sequences With Low Autocorrelation Functionmentioning

confidence: 99%

A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

Rosli¹,

Rahim²,

Rani³

et al. 2022

CMC

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The essential purpose of radar is to detect a target of interest and provide information concerning the target's location, motion, size, and other parameters. The knowledge about the pulse trains' properties shows that a class of signals is mainly well suited to digital processing of increasing practical importance. A low autocorrelation binary sequence (LABS) is a complex combinatorial problem. The main problems of LABS are low Merit Factor (MF) and shorter length sequences. Besides, the maximum possible MF equals 12.3248 as infinity length is unable to be achieved. Therefore, this study implemented two techniques to propose a new metaheuristic algorithm based on Hybrid Modified Sine Cosine Algorithm with Cuckoo Search Algorithm (HMSCACSA) using Inverse Filtering (IF) and clipping method to achieve better results. The proposed algorithms, LABS-IF and HMSCACSA-IF, achieved better results with two large MFs equal to 12.12 and 12.6678 for lengths 231 and 237, respectively, where the optimal solutions belong to the skew-symmetric sequences. The MF outperformed up to 24.335% and 2.708% against the state-of-the-art LABS heuristic algorithm, xLastovka, and Golay, respectively. These results indicated that the proposed algorithm's simulation had quality solutions in terms of fast convergence curve with better optimal means, and standard deviation.

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Section: Related Work 21 General Fundamental For Designing Sequences With Low Autocorrelation Functionmentioning

confidence: 99%

A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

Rosli¹,

Rahim²,

Rani³

et al. 2022

CMC

View full text Add to dashboard Cite

show abstract

“…It has the flexibility to dispose the noise ratio to improve the ER in that pulse trains. The ER valued is greater than original sequences but have poor characteristic of SLE compared between modified and without modification sequences but from the performance result it was efficient and flexible implementation compared the another methods, where it is the combination of 'inverse filtering' and 'clipping' provides a method of generating waveforms that have desirable properties for improving the range and Doppler resolution of radar [13][14][15].…”

Section: Discussionmentioning

confidence: 99%

Design of amplitude and phase modulated pulse trains with good auttocorrelation properties for radar communications

Rosli¹,

Rahim²,

Rani³

2019

IJEECS

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Development of technique for synthesizing multilevel sequences with good correlation properties is very useful for several radar applications where as a set of phase and amplitude coded sequences will be synthesized directly for compression technique. In reality, the signal processing also been significant to transmit or store signals, to enhance desired signal component and to extract useful information carried by signals. Consequently, this paper describes affectively methods to generating the finite length multilevel sequence of any length that have low side lobe energy (SLE) and improved energy ratio (ER) in their autocorrelation function (ACF). Testing for the stability and the analyzing of systems zero pattern using z-transform for the generating sequence indicates a possible position of roots in the radius of circle lies. This is illustrated by application of 13-element Huffman code as a starting sequence, this technique more low complexity and compatible compared inverse filtering technique.

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“…Based on ambiguity function, many waveform optimization methods are proposed to design waveforms with extremely narrow main lobe and extremely low side lobes so as to improve the resolvability of adjacent targets [10]- [12]. The majority of these methods also concentrate on the intrinsic resolution of waveforms while seldom algorithms consider waveform optimization enhancing practical resolution.…”

Section: Introductionmentioning

confidence: 99%

PDF-Euclidean Distance-Based Adaptive Waveform Selection for Maximizing Radar Practical Resolution

Peng

2019

IEEE Access

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This paper focuses on the issue of adaptive waveform selection to optimize the radar resolvability of closely located targets, which is significant in radar detection and estimation. The well-known ambiguity function-based radar resolution only takes transmitted waveform into consideration, which cannot reflect the achievable resolution of a real radar system. In this paper, we consider radar practical resolution based on a geometric metric, Euclidean Distance between probability density functions (PDF-ED), which is defined as square difference between the probability density functions of radar measurements. The PDF-ED takes the PDF's envelope curve into account and specifies the essential difference between the two PDFs in terms of information geometry. Thus the radar practical resolution based on this conveniently characterizes the effect of waveform parameter, target state and measurement model, etc. and offers a statistical way to assess radar sensing capability for a given application. Accordingly, an adaptive waveform selection criterion aiming to maximize the practical resolution is proposed. The experimental simulations verify its effectiveness in decreasing the probability of error when distinguishing two targets.

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Waveform Design for Improved Range and Doppler Resolution in Radar

Cited by 7 publications

References 9 publications

A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

Design of amplitude and phase modulated pulse trains with good auttocorrelation properties for radar communications

PDF-Euclidean Distance-Based Adaptive Waveform Selection for Maximizing Radar Practical Resolution

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