## 2 Related Works  
In the existing literature, several reports have been presented on radio frequency interference detection and mitigation [1, 4, 15]. RFI detection and mitigation techniques have been proposed previously [5, 7, 8]. Specifically, RFI detection and mitigation using compressive statistical sensing was proposed in [5]. Here, RFI detection and mitigation based on compressive statistical sensing of sub-Nyquist data is reported. The work aims at developing a real-time RFI detection and mitigation technique, adopting the cyclic spectrum analysis combined with compressive statistical sensing. However, the performance of the algorithm could not support hardware-based implementation. Factor Analysis (FA)-based RFI detection techniques were also proposed for satellite observations [7]. Additionally, RFI in satellite and terrestrial radio-relay systems is the subject of the investigation in [8]. Here, RFI measurements were conducted at 5.925 GHz and 6.425 GHz. The common signal interference in satellites and microwave radio relay systems was evaluated. However, additional data analysis would be required to determine the relative accuracy of RFI power flux density predictions. RFI detection mechanisms for communication links were tested for terrestrial and geostationary satellite systems in [9]. Here, the radiated noise sources from an antenna bearing on a spacecraft at different amplitudes and frequencies were examined. The noise samples that were measured were compared with statistically calibrated data. Radio channels and multipath spatial consistency at frequencies below and above 6 GHz were reported [16]. The power angular spectrum (PAS), path angular profile (PAP), and angular distribution of paths were compared. Furthermore, soil moisture active and passive (SMAP) radiometer observations of bandwidth, duration, and center frequency of RFI signals are presented in [17]. The work aimed to examine the properties and characteristics of RFI environments to determine the performance of RFI detection and mitigation algorithms. However, L-band RFI characteristics require rigorous analysis. In [18], the possibility of transporting a higher bandwidth via a single-mode fiber over a long distance is investigated. The results revealed that the losses on the transmitter are rather alarming due to RFI, though an amplified signal output of 22 dBm with an average noise figure of 1.4 dB was recorded. RFI measurement survey was conducted in [19]. The work considers the 20 MHz to 6 GHz bands, uses a directional antenna, RF cable, and a spectrum analyzer. The authors aimed to detect strong intermittent and weak RFI signals on a radio telescope. An equation for the spectral flux density (SFD) was derived, and the SFD plots were analyzed to determine the presence of RFI in the main beam of the radio telescope. The study concluded that sites located around airport environments are practically not suitable for selection. In [20], a double-sideband modulation scheme was used to generate and transmit a dual-chirp microwave waveform to eliminate chromatic dispersion-induced power fading (CDIP) over fiber transmission. Different methods were employed to create dual-chirped microwave waveforms. Worthy of mention is the deficiency suffered by the dual-chirp microwave waveform from the periodic attenuation of the signal power. An anti-dispersion transmission scheme was deployed to counter this deficiency. A one-to-multi-anti-dispersion transmission link of the dual-chirp microwave signal was evolved, leading to an appreciable elimination of the CDIP using the proposed scheme. The Z-shape spoof-surface plasmon polaritons structure was employed towards a dual-frequency-scanning broadband antenna at 2.8-7.3 GHz and 13.7-27.4 GHz [21]. The geometric parameters of the Z-shape unit cell were adjusted. The work was tested by fabricating a prototype dual-frequency-scanning broadband antenna on the F4B substrate using PCB. The proposed frequency scanning on the two frequency bands was achieved concurrently.