# Compact Bistatic Iterative Passive Radar Based on Terrestrial Digital Video Broadcasting Signals
## 5 Conclusions  
In this paper, a novel approach to target coordinate estimation is proposed and analyzed. The traditional LS formula for estimating positioning is robust when there are several widely separated receivers, as the errors are relatively small compared to the differences in distances. However, this traditional method is highly sensitive to errors when using a single receiver with multiple antennas. Moreover, a single-location compact PR is more convenient than its more widely distributed form. Thus, by leveraging the weakness of the formula when the antennas are co-located in a single receiver, the formula is adapted, resulting in an iterative algorithm for refining the initial estimations. After checking and validating the algorithm through simulations, we can conclude that it is a simple yet effective solution to the estimation of target coordinates, even in a low SNR environment. For further research, the algorithm is going to implement into a simple prototype based on universal software radio peripheral (USRP) B210 from Ettus and Matlab to validate the results. V.P.G.J. : Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing--original draft, Writing--review and editing, Visualization. A.G.: Supervision, Validation, Writing--review and editing. All authors have read and agreed to the published version of the manuscript. This work was partly funded by Project SOFIA-AIR (PID2023-147305 OB-C31) (MICIU /10.13039/501100011033/ AEI/EFDR, UE). Data Availability Statement: Data is contained within the article. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. * [PERSON] et al. (2023) [PERSON]; [PERSON] Joint Azimuth, Elevation and Delay Estimation for Single Base Station Localization in 3D IIoT. _Appl. Sci._**2023**, _13_, 10768. [CrossRef]
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