Spectrum Sharing Approach between Radar and Communication Systems and Its Impact on Radar's Detectable Target Parameters

Abstract

In this paper, we present our spectrum sharing algorithm between a multi-input multi-output (MIMO) radar and Long Term Evolution (LTE) cellular system with multiple base stations (BS)s. We analyze the performance of MIMO radars in detecting the angle of arrival, propagation delay and Doppler angular frequency by projecting orthogonal waveforms onto the null-space of interference channel matrix. We compare and analyze the radar's detectable target parameters in the case of the original radar waveform and the case of null-projected radar waveform. Our proposed spectrum-sharing algorithm causes minimum loss in radar performance by selecting the best interference channel that does not cause interference to the i th LTE base station due to the radar signal. We show through our analytical and simulation results that the loss in the radar performance in detecting the target parameters is minimal when our proposed spectrum sharing algorithm is used to select the best channel onto which radar signals are projected.

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

“…The authors study the impact of perturbed ICSI on the null space projection algorithm as well as the radar performance. Other similar schemes have been proposed in [179] and [180] to facilitate the coexistence of a radar system and an LTE cellular system.…”

Joint Power Allocation for Multicarrier Radar and Communication Coexistence

“…and w r,n is the output noise with zero mean and variance σ 2 r . In this paper, the problem of interest is to jointly design the power allocation vectors p r and p c based on the radarcommunication coexistence model in (4) and (8).…”

“…[1]- [7]). The coexistence, if improperly implemented, can cause significant interference and performance degradation for both systems [8]- [10]. Extensive research has been directed to employing various signal processing techniques, i.e., interference mitigation, power and/or subcarrier allocation, precoding, and waveform design, to allow both radar and communication systems to efficiently share the spectrum.…”

Radar Waveform Optimization for Joint Radar Communications Performance

“…[45] also uses mutual information to investigate spectrum sharing between radar and communications when their spectrum overlap partially. Other researchers looked at spatial mitigation as a means to improve spectral interoperability [46][47][48][49]. Joint coding techniques, such as robust codes for communications that have desirable radar ambiguity properties, as well as codes that trade the data rate and the channel estimation error, have been investigated as co-design solutions [50][51][52][53].…”