Principles and applications of coherent random noise radar technology

Narayanan, Ram M.; Xu, Xiaojian

doi:10.1117/12.484912

Cited by 27 publications

(21 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Noise radars are those which use random or pseudo-random signals for target illumination and coherent detection techniques for reception of noise signals [1,2,3,4,5,6]. A correlator receiver is a typical element entering into the noise radar.…”

Section: Introductionmentioning

confidence: 99%

Short-Range Noise Radar with Microwave Correlator for Through-The-Wall Detection

Susek¹,

Stec²

2013

Metrology and Measurement Systems

View full text Add to dashboard Cite

The analysis of the autocorrelation function of a noise signal in a limited band of a microwave frequency range is described in the paper. On the basis of this analysis the static characteristic of the detector for object movement was found. The measurement results for the correlation function of noise signals are shown and the application of such solution in a noise radar for the precise determination of distance variations and the velocity of these changes is presented in the paper. The construction, working principle and measurement results for through-thewall noise radar demonstrator have been presented in the paper. A broadband noise signal in microwave S frequency band has been chosen, for high sensitivity getting. The broadband noise signal together with correlation receiver provides high sensitivity and moderate range for low transmitted power level. The experimental results obtained from 2.6-3.6 GHz noise-like waveform for the signal of a breathing human are presented. Conclusions and future plans for application of the presented detection technique in broadband noise radars conclude the paper.

show abstract

Section: Introductionmentioning

confidence: 99%

Short-Range Noise Radar with Microwave Correlator for Through-The-Wall Detection

Susek¹,

Stec²

2013

Metrology and Measurement Systems

View full text Add to dashboard Cite

show abstract

“…The threshold of¯ peak mean can be determined based on the peaksidelobe ratio (PSLR) of the CCM-FM signal, whose unit is decibel. When 20 * log 10 ¯ peak mean > −PSLR (22) it is thought that the velocity deviation is less than the velocity resolution. When a target moves toward the radar, the velocity after the coarse search will be v coarse ⊂ (v − dv, v).…”

Section: Coarse Searchmentioning

confidence: 99%

“…In early times, noise sources are mainly thermal noises [20][21][22], but their generation is hard to control and their performance is hard to predict as well. With the development of chaotic theory, more and more researchers adopt chaotic signals as pseudo-noise signals.…”

Section: Introductionmentioning

confidence: 99%

Wide-Band Chaotic Noise Signal for Velocity Estimation and Imaging of High-Speed Moving Targets

Yang¹,

Zhang²,

Gu³

2015

PIER B

View full text Add to dashboard Cite

Abstract-This paper proposes a burst model of chaotic noise signals with randomly stepped carrier frequencies for velocity estimation and high-resolution range imaging of high-speed moving targets. The random stepping of carrier frequencies is controlled by a combination chaotic map (CCM), which is generated by embedding a Logistic map into a Bernoulli map. The baseband noise signal adopts the CCM based frequency-modulation (CCM-FM) signal, which has good randomness and a thumbtack ambiguity function as well. The velocity estimation includes a coarse search and a precise search, where the coarse search is conducted with a fixed step to makes the velocity deviation less than the velocity resolution, while the precise search adopts the Golden Section Search (GSS) algorithm to get an accurate estimation of velocity. What should be emphasized is that the velocity estimation process can be completed with just a burst of subpulses. Then the spectra are coherently synthesized to obtain ultra-wide bandwidth and high-resolution range imaging. Finally, numerical simulations demonstrate a good performance of the proposed signal model and the processing algorithm.

show abstract

“…It has excellent electronic counter countermeasure capability, very low probability of intercept, high electro-magnetic compatibility, good counter electronic support measure capability, and ideal 'thumbtack' ambiguity function [3]. In [4][5][6][7], basic principles and typical noise radar systems are presented with further analysis. Noise radar was originally developed with homodyne receivers for short-range applications [5].…”

Section: Introductionmentioning

confidence: 99%

A stable realization of apodization filtering applied to noise SAR and SAR range sidelobe suppression

Wang

et al. 2012

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

Pulse response of radar system always suffers from high sidelobe level resulting in resolution degradation. Investigated here is a sidelobe suppression method based on apodization filtering technique for range responses of synthetic aperture radar (SAR) and noise SAR systems. The core of apodization filtering is finding an appropriate filtering vector in time domain. Compared with original apodization filtering, the proposed method could be realized stably because it could get correct filtering vector efficiently. This method contains three important steps: constructing coefficient matrix and desired response vector; performing ill-posed analysis; and solving equation to find filtering vector. In these steps, convolution kernel method is adopted to construct coefficient matrix; spectral condition is introduced as an indicating function for ill-posed analysis; and total variation method is used to resolve ill-posed equation for getting filtering vector. Elaborate theoretical derivation is presented to demonstrate the feasibility of this method. In order to test its effect, simulation experiments are implemented. Simulation results show that there is a great suppression of range sidelobes after processed by this method. With increasing filter length, the performance of filtered output is improved but time cost is increasing correspondingly. Furthermore, the proposed method is also effective with noise disturbance.

show abstract

Principles and applications of coherent random noise radar technology

Cited by 27 publications

References 0 publications

Short-Range Noise Radar with Microwave Correlator for Through-The-Wall Detection

Short-Range Noise Radar with Microwave Correlator for Through-The-Wall Detection

Wide-Band Chaotic Noise Signal for Velocity Estimation and Imaging of High-Speed Moving Targets

A stable realization of apodization filtering applied to noise SAR and SAR range sidelobe suppression

Contact Info

Product

Resources

About