Performance of a joint radar-communication system in doubly-selective channels

Harper, Andrew D.; Reed, Jeremy; Odom, Jonathan L.; Lanterman, Aaron D.

doi:10.1109/acssc.2015.7421366

Cited by 9 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results obtained through information theoretic treatment of radar signals usually do not include the ambiguity function for the radar signal. Probability of detection, which corresponds to the main lobe of the signal response on the ambiguity function, is analyzed as performance metric for radar in [9], [10]. Only recently, the peak side-lobe level (PSL) of the autocorrelation function is considered as performance criterion in information-centered research on cooperative radar-communication [11].…”

Section: Introductionmentioning

confidence: 99%

“…Scenario 2: (a) Channel gains |h k | 2 in (9a) and subcarrier powers p, and (b) expected pulse compression output in(7) for the cases of uniform, water-filling and radar-communications optimal design in(9), where the normalized variances in (8) (i.e., p 2 /P T ) are given, respectively, by −10.53 dB, −9.70 dB and −10.45 dB. The side-lobe region S is set to be the unambiguous range interval excluding the main-lobe region [−2, 2] m.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Keskin

Tigrek

Aydoğdu

et al. 2021

2020 17th European Radar Conference (EuRAD)

View full text Add to dashboard Cite

We propose a novel joint radar communication waveform design method based on OFDM spectrum allocation to trade off radar and communication performance. The proposed approach combines the water filling optimization to maximize the communication rate for slow fading channels with windowing to reduce pulse compression peak sidelobe level (PSL) for the radar. A trade-off between communication and radar performance is demonstrated by modifying the constraints of the optimization problem. The results show that, depending on the channel response, the proposed optimization method can significantly reduce PSL with limited impact on the data rate.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Keskin

Tigrek

Aydoğdu

et al. 2021

2020 17th European Radar Conference (EuRAD)

View full text Add to dashboard Cite

show abstract

“…The research in [30] splits the total power between the data symbols that perform the information transmission and the training symbols which accomplish the radar function. The study in [31] and [32] splits the total bandwidth into two subbands, one for communications only and the other for both radar and communications.…”

Section: Introductionmentioning

confidence: 99%

Robust OFDM integrated radar and communications waveform design based on information theory

2019

View full text Add to dashboard Cite

An integrated radar and communications system (IRCS) where a monostatic radar transceiver is employed for target classification while simultaneously used as a communications transmitter is considered. The radar combined propagation-target response (joint response of the radar propagation channel and target) and communications channel response are generally frequency selective but the corresponding frequency response functions are not exactly known. In particular, these frequency response functions are only known to lie in an uncertainty class. To ensure the IRCS simultaneously provides acceptable target classification performance and communications rate, a robust orthogonal frequency division multiplexing (OFDM) integrated radar and communications waveform (IRCW) design method is proposed. The approach finds a waveform that simultaneously provides a sufficiently large weighted sum of the communications data information rate (DIR) and the conditional mutual information (MI) between the observed signal and the radar target over the entire uncertainty class. First, the conditional MI and DIR based on the integrated OFDM radar and communications waveform are derived. Then, a robust OFDM IRCW optimization problem based on the minimax design philosophy is developed such that closed-form solution is derived. Finally, several numerical results are presented to demonstrate the effectiveness of the proposed method.Index Terms-Robust waveform design, integrated radar and communications, orthogonal frequency division multiplexing, conditional mutual information, data information rate I INTRODUCTIONWith the increased acceptance of communications and radar systems for both commercial and defense applications, the study of integrated systems has attracted significant attention in the signal processing community [1]-[3]. These systems have advantages in reducing the hardware cost and improving the spectrum usage. For example, [4] describes how radar, communications, and electronic 

show abstract

“…Recently, lots of works have been focused on designing unified signal frame that realises information transmission and radar sensing dividedly in time [3][4][5][6][7][8][9]. Another more direct way to obtain the integrated signal is to add communication signal to radar signal.…”

Section: Introductionmentioning

confidence: 99%

CLEAN‐based air moving target detection for the SFM radar‐communication system

Wang

Liao

Yang

et al. 2019

IET signal process.

View full text Add to dashboard Cite

Space-frequency modulation (SFM) signal is a potential waveform for multifunction radar with high degrees of freedom of space, time, and frequency. However, the introduction of the additional communication function will modulate the transmitting signal, which will severely deteriorate the autocorrelation function (ACF). Here, a modified CLEAN method is proposed to eliminate the influence of undesired sidelobes in ACF on the air target detection. In the proposed method, undesired sidelobes are treated as extra features of real target to obtain more precise estimation of its complex reflection coefficient. Moreover, by considering about the sparsity of air targets, the authors employ the sparse representation method to estimate the response of the current strongest target. Then the target occlusion is eliminated by iterative cancellation. Simulation results demonstrate that the proposed detector is reliable and effective for the SFM-based integrated system.

show abstract

Performance of a joint radar-communication system in doubly-selective channels

Cited by 9 publications

References 10 publications

Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Robust OFDM integrated radar and communications waveform design based on information theory

CLEAN‐based air moving target detection for the SFM radar‐communication system

Contact Info

Product

Resources

About