Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization

del-Rey-Maestre, Nerea; Mata-Moya, David; Jarabo-Amores, María-Pilar; Gómez-del-Hoyo, Pedro; Bárcena-Humanes, J. L.; Rosado-Sanz, Javier

doi:10.3390/rs9070756

Cited by 24 publications

(20 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where the functions F(•) and G(•) are determined by (1) and 2, respectively. According to (25), it is impossible to achieve a target's location and velocity with only a group of range Doppler parameters.…”

Section: Multi-static Experiments and Aircrafts Motion Parameters Estmentioning

confidence: 99%

“…Over the past few years, passive radar has attracted more and more attention and developed very quickly, due to its low cost of operation and maintenance, no need for frequency allocations, and difficulty of jamming [1,2]. Much research about FM, WIFI, satellite TV, and global navigation satellite system (GNSS)-based passive radar have been carried out theoretically and practically [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

2-D Coherent Integration Processing and Detecting of Aircrafts Using GNSS-Based Passive Radar

et al. 2018

View full text Add to dashboard Cite

Long time coherent integration is a vital method for improving the detection ability of global navigation satellite system (GNSS)-based passive radar, because the GNSS signal is not radar-designed and its power level is very low. For aircraft detection, the large range cell migration (RCM) and Doppler frequency migration (DFM) will seriously affect the coherent processing of azimuth signals, and the traditional range match filter will also be mismatched due to the Doppler-intolerant characteristic of GNSS signals. Accordingly, the energy loss of 2-dimensional (2-D) coherent processing is inevitable in traditional methods. In this paper, a novel 2-D coherent integration processing and algorithm for aircraft target detection is proposed. For azimuth processing, a modified Radon Fourier Transform (RFT) with range-walk removal and Doppler rate estimation is performed. In respect to range compression, a modified matched filter with a shifting Doppler is applied. As a result, the signal will be accurately focused in the range-Doppler domain, and a sufficiently high SNR can be obtained for aircraft detection with a moving target detector. Numerical simulations demonstrate that the range-Doppler parameters of an aircraft target can be obtained, and the position and velocity of the aircraft can be estimated accurately by multiple observation geometries due to abundant GNSS resources. The experimental results also illustrate that the blind Doppler sidelobe is suppressed effectively and the proposed algorithm has a good performance even in the presence of Doppler ambiguity.

show abstract

Section: Multi-static Experiments and Aircrafts Motion Parameters Estmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

2-D Coherent Integration Processing and Detecting of Aircrafts Using GNSS-Based Passive Radar

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The PCL system receives the opportunity signal in two ways: first is the signal directly from a transmitter, second is the signal reflected from an object of interest (target), as shown in Figure 1. Then, the comparison and specialized analysis of these two signals as a result allows the detection of an object's presence and its distance and velocity [2][3][4]. The main part of this receiver is an antenna and a low-noise amplifier.…”

Section: Introductionmentioning

confidence: 99%

Counter-Passive Coherent Locator (C-PCL)—A Method of Remote Detection of Passive Radars for Electronic Warfare Systems

2021

View full text Add to dashboard Cite

Passive Coherent Location methods and techniques have an established position in the modern state-of-the-art radar. Inexpensive, easy to deploy and undetectable for other sensors, passive radars are growing in popularity. Due to that, a need arises to develop proper methods of any possible kind of countermeasure. In this work, a method of detection and localization of hidden PCL systems is proposed. Authors exploit certain physical features of an RF receiver in order to detect such a passive systems. Results of selected hardware measurements are presented as a proof of concept. Summarized findings are followed by an extensive discussion of conditions related with the method implementation in a real world scenarios.

show abstract

“…In the current paper, the implementation of such recording equipment is tackled, defining design requirements and processing architectures that guarantee low development and maintenance costs, which are distinctive features of PRs. These are more important in PRs using surveillance array antennas and digital array signal processing techniques, which are key approaches to improve PR performance with respect to angular coverage and resolution, 3D (range, Doppler and azimuth) detection and tracking, and radar imaging [27]- [29]. In these solutions, a recording equipment per single radiating element of the antenna array would be necessary, in addition to that required for the reference channel.…”

Section: Introductionmentioning

confidence: 99%

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

et al. 2020

Self Cite

View full text Add to dashboard Cite

In this paper, a commercial low cost solution for increasing DVB-T based passive radar (also referred to as passive coherent location) robustness with respect to channel allocation and range resolution, is designed. IDEPAR demonstrator is updated to include a new recording system in charge of DVB-T channels reallocation. The use of commercial hardware introduces frequency mismatching between acquired channels that compromises system operation. To face channel frequency alignment, fulfilling the requirements imposed by the high Doppler resolution typical of passive radars, a novel compensation algorithm is proposed, based on the minimization of signal dispersion in the Cross-Ambiguity Function domain. The well-known cyclic prefix van de Beek method is used as reference. Results show an increase in target signal to interference ratio and detection performances, as well as a reduction of clutter dispersion when the novel proposed algorithm is applied. The low cost solution is also compared to a high performance one capable of acquiring a wide bandwidth of sparse DVB-T channels, and performing channel reallocation by digital signal processing. Results show that both systems reached similar performances in terms of range resolution and SNR improvement.

show abstract

Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization

Cited by 24 publications

References 23 publications

2-D Coherent Integration Processing and Detecting of Aircrafts Using GNSS-Based Passive Radar

2-D Coherent Integration Processing and Detecting of Aircrafts Using GNSS-Based Passive Radar

Counter-Passive Coherent Locator (C-PCL)—A Method of Remote Detection of Passive Radars for Electronic Warfare Systems

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

Contact Info

Product

Resources

About