Design of a Noise Radar Demonstrator

Stove, A.G.; Galati, Gaspare; Palo, Francesco De; Wasserzier, Christoph; Erdogan, A. Yasin; Savci, Kubilay; Lukin, Konstantin

doi:10.1109/irs.2016.7497328

Cited by 17 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also the range at which the correlation coefficient is reduced to 1/ √ 2 of its maximum value. For the example parameters given in Table I, which were inspired by the values given in [11], we find that R c = 1.0 km. We have thus obtained the range dependence on the correlation coefficient in terms of two quantities which are relatively easy to determine: the initial correlation ρ 0 and the characteristic length R c .…”

Section: Correlation Coefficient As a Function Of Rangementioning

confidence: 86%

“…It is also the range at which the correlation coefficient is reduced to 1/ √ 2 of its maximum value. For the example parameters given in Table 1, which were inspired by the values given in [13], we find that 𝑅 𝑐 = 1.0 km.…”

Section: Correlation Coefficient As a Function Of Rangementioning

confidence: 86%

“…In this case, the received signal in step 3 would also be digitized and the correlation would be performed via digital signal processing. An example of the practical implementation of such a scheme can be seen in [13]. It is interesting to note, however, that the reference signal could be sent to the receiver in analog form and the correlation in step 4 performed via analog signal processing, as done in [6].…”

Section: The Noise Radar Protocolmentioning

confidence: 99%

See 2 more Smart Citations

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient

2022

View full text Add to dashboard Cite

Noise radars, as well as certain types of quantum radar, can be understood in terms of a correlation coefficient which characterizes their detection performance. Although most results in the noise radar literature are stated in terms of the signal-to-noise ratio (SNR), we show that it is possible to carry out performance prediction in terms of the correlation coefficient. To this end, we derive the range dependence of the correlation coefficient under the assumption that all external noise is additive white Gaussian noise. We then combine our result with a previously-derived expression for the receiver operating characteristic (ROC) curve of a coherent noise radar, showing that we can obtain ROC curves for varying ranges. A comparison with corresponding results for a conventional radar employing coherent integration shows that our results are sensible. The aim of our work is to show that the correlation coefficient is a viable adjunct to SNR in understanding noise radar performance.

show abstract

Section: Correlation Coefficient As a Function Of Rangementioning

confidence: 86%

Section: Correlation Coefficient As a Function Of Rangementioning

confidence: 86%

Section: The Noise Radar Protocolmentioning

confidence: 99%

See 1 more Smart Citation

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient

2022

View full text Add to dashboard Cite

show abstract

“…Noise radar technology (NRT) [15,[31][32][33][34][35] makes use of pseudo-random waveforms that are realizations of a Gaussian band-limited random process or transformations of it. These "pure noise" realizations, once generated and stored, are not strictly random anymore as they act as deterministic signals with known PSLR, Range resolution and ambiguity function.…”

Section: Random Waveforms: Noise Radar Technologymentioning

confidence: 99%

Waveform Design and Related Processing for Multiple Target Detection and Resolution

Galati¹,

Pavan²

2018

Topics in Radar Signal Processing

Self Cite

View full text Add to dashboard Cite

The performance of modern radar systems mostly depends on the radiated waveforms, whose design is the basis of the entire system design. Today's coherent, solidstate radars (either of the phased array type or of the single-radiator type as air traffic control or marine radars) transmit a set of deterministic signals with relatively large duty cycles, an order of 10%, calling for pulse compression to get the required range resolution. Often, power budget calls for different pulse lengths (e.g., short, medium, and long waveforms with a rectangular envelope) to cover the whole radar range. The first part of the chapter includes the topic of mitigating the effect of unwanted side lobes, inherent to every pulse compression, which is achieved both by a careful and optimal design of the waveform and by a (possibly mismatched) suitable processing. The second part of the chapter deals with the novel noise radar technology, not yet used in commercial radar sets but promising: (1) to prevent radar interception and exploitation by an enemy part and (2) to limit the mutual interferences of nearby radars, as in the marine environment. In this case, the design includes a tailoring of a set of pseudo-random waveforms, generally by recursive processing, to comply with the system requirements.

show abstract

“…Noise Radar Technology (NRT) [29][30][31][32][33][34][35] may be a valid alternative to overcome the high-power amplitude modulation issue. NRT makes use of pseudo-random waveforms that are realizations of a Gaussian band-limited random process [24].…”

Section: Noise Radar Technologymentioning

confidence: 99%

Chirp Signals and Noisy Waveforms for Solid-State Surveillance Radars

2017

Self Cite

View full text Add to dashboard Cite

Since the advent of "pulse compression" radar, the "chirp" signal (Linear Frequency Modulation, LFM) has been one of the most widely used radar waveforms. It is well known that, by changing its modulation into a Non-Linear Frequency Modulation (NLFM), better performance in terms of Peak-to-Sidelobes Ratio (PSLR) can be achieved to mitigate the masking effect of nearby targets and to increase the useful dynamic range. Adding an appropriate amplitude modulation, as occurs in Hybrid-NLFM (HNLFM), the PSLR can reach very low values (e.g., PSLR < −60 dB), comparable to the two-way antenna sidelobes in azimuth. On the other hand, modern solid-state power amplifier technology, using low-power modules, requires them to be combined at the Radio Frequency (RF) stage in order to achieve the desired transmitted power. Noise Radar Technology (NRT) represents a valid alternative to deterministic waveforms. It makes use of pseudo-random waveforms-realizations of a noise process. The higher its time-bandwidth (or BT) product, the higher the (statistical) PSLR. With practical BT values, the achievable PSLR using pure random noise is generally not sufficient. Therefore, the generated pseudorandom waveforms can be "tailored" (TPW: Tailored Pseudorandom Waveforms) at will through suitable algorithms in order to achieve the desired sidelobe level, even only in a limited range interval, as shown in this work. Moreover, the needed high BT, i.e., the higher time duration T having fixed the bandwidth B, matches well with the low power solid-state amplifiers of Noise Radar. Focusing the interest on (civil) surveillance radar applications, such as ATC (Air Traffic Control) and marine radar, this paper proposes a general review of the two classes of waveforms, i.e., HNLFM and TPW.

show abstract

Design of a Noise Radar Demonstrator

Cited by 17 publications

References 3 publications

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient

Waveform Design and Related Processing for Multiple Target Detection and Resolution

Chirp Signals and Noisy Waveforms for Solid-State Surveillance Radars

Contact Info

Product

Resources

About