Implementation aspects of Wigner-Hough Transform based detectors for LFMCW signals

Guner, Kani K.; Erkmen, Burcu; Gulum, Taylan O.; Erdogan, A. Yasin; Yıldırım, Tülay; Durak–Ata, Lütfiye

doi:10.1109/tsp.2016.7760916

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…To verify the applicability of the proposed synchronous transmission method for array signals, the throughput and accuracy of the synchronous transmission were analyzed through contrastive experiments [30]. The proposed method was compared with the carrier-based synchronous transmission method for wireless signals (Method 1) [1], and the synchronous transmission method for energy and signals with a parallel inductive structure of fundamental energy channel and harmonic energy channel (Method 2) [2]. Figure 3, the throughputs of Method 1 and Method 2 both decreased first and then increased, while the throughput of our method remained above 150MPa and that of the two contrastive method.…”

Section: Experiments and Results Analysismentioning

confidence: 99%

“…On the downside, the information throughput is small and signal losses are frequent, due to the mismatch between the coupling mechanism and the pickup end. Guner et al [2] designed a synchronous transmission method for energy and signals with a parallel inductive structure of fundamental energy channel and harmonic energy channel. By this method, the power distribution between the two channels is adjusted to transmit the energy and signals without changing the system resonance.…”

Section: Introductionmentioning

confidence: 99%

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A Synchronous Transmission Method for Array Signals of Sensor Network under Resonance Technology

Wang¹

2020

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The traditional transmission methods for array signals face problems like signal loss and inaccurate output, due to the inadequacy of signal processing. To solve the problems, this paper presents a synchronous transmission method for array signals of sensor network under resonance technology. For better transmission efficiency, the array signals were collected through three-node collaboration in the sensor network, and denoised through wavelet transform. After that, the abnormal nodes in the sensor network were detected to improve transmission accuracy. On this basis, vibration frequency of the array signals was adjusted by the degree of harmonic vibration. Finally, the synchronous and accurate transmission of array signals was realized through normalization and adaptive solution of echo signals. Experimental results show that the proposed method achieved greater information throughput and higher transmission accuracy than traditional methods within the same time. Therefore, this research provides a highly applicable synchronous transmission method for array signals.

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Section: Experiments and Results Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Synchronous Transmission Method for Array Signals of Sensor Network under Resonance Technology

Wang¹

2020

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“…The proposed solution is compared with regard to overall performance with methods in [13,16,19,22,23].…”

Section: Performance Comparisonmentioning

confidence: 99%

“…Demonstrated performance for LFMCW is for SNR = À4dB and P fa ¼ 10 À9 using short time harmonic modelling, clustering, association by Kolmogorov-Smirnov test and estimation by optimization. • Both [19] Figure 7. LPI radar scenario simulation and analysis using the proposed method.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…Sparse representation of intra-pulse modulated signals is presented in [18], with demonstrated performance for linear and non-linear frequency modulation (FM) using atomic dictionary. In [19], implementation of Wigner-Hough transform based detectors for LFMCW signals is discussed, along with a comparison of various detector configurations. Design aspects of low probability of recognition radar signals and radar performance as a function of covertness has been holistically presented in [20].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

2017

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In this paper, we investigate the problem of analysis of low probability of interception (LPI) radar signals with intra-pulse frequency modulation (FM) under low signal-to-noise ratio conditions from the perspective of an airborne electronic warfare (EW) digital receiver. EW receivers are designed to intercept and analyse threat radar signals of different classes, received over large dynamic range and operating independently over large geographical spread to advice host aircraft to undertake specified actions. For an EW receiver, primary challenges in interception and analysis of LPI radar signals are low received power, intra-pulse modulations, multi-octave frequency range, wide signal bandwidth, long pulse width, vast and multi-parametric search space, etc. In the present work, a method based on match filterbank localization and Taylor's series approximation for analysing the entire family of intra-pulse FM radar signals is proposed. The method involves progressive, joint time-frequency (TF) localization of the signal of interest (SOI), under piecewise linearity and continuity assumptions on instantaneous frequency, to effectively capture local TF signatures. Detection is by information-theoretic criterion based hypotheses testing, while estimation and classification are based on polynomial approximation. Fine signal analysis is followed by synthetic reconstruction of the received signal slope. Detection, estimation and classification performances for the prominent FM radar signal classes are quantified based on simulation study statistics. Stagewise implementation of analysis and FM slope reconstruction, in realistic radar threat scenarios, is demonstrated for the potential SOIs. Subject discussion is organized from the perspective of practical EW system design and presented within the realm of signal processing architecture of concurrent EW digital receivers.

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LFMCW radar multi-target parameter estimation based on maximum likelihood and keystone transform

Huang

2017

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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Implementation aspects of Wigner-Hough Transform based detectors for LFMCW signals

Cited by 9 publications

References 8 publications

A Synchronous Transmission Method for Array Signals of Sensor Network under Resonance Technology

A Synchronous Transmission Method for Array Signals of Sensor Network under Resonance Technology

Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

LFMCW radar multi-target parameter estimation based on maximum likelihood and keystone transform

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