Design of multiple‐input–multiple‐output radar waveforms for Rician target detection

Tang, Bo; Tang, Jun

doi:10.1049/iet-rsn.2015.0504

Cited by 13 publications

(24 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The core principle of MM is to transform the original problem into a series of simple problems which can be tackled efficiently and converge to the stationary optimal solution of the original problem [22]. Motivated by the ascent property and superior convergence of MM, it has been applied in many fields [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar

Hao

Gong

2019

Entropy

View full text Add to dashboard Cite

This paper addresses the waveform design problem of cognitive radar for extended target estimation in the presence of signal-dependent clutter, subject to a peak-to-average power ratio (PAR) constraint. Owing to this kind of constraint and the convolution operation of the waveform in the time domain, the formulated optimization problem for maximizing the mutual information (MI) between the target and the received signal is a complex non-convex problem. To this end, an efficient waveform design method based on minimization–maximization (MM) technique is proposed. First, by using the MM approach, the original non-convex problem is converted to a convex problem concerning the matrix variable. Then a trick is used for replacing the matrix variable with the vector variable by utilizing the properties of the Toeplitz matrix. Based on this, the optimization problem can be solved efficiently combined with the nearest neighbor method. Finally, an acceleration scheme is used to improve the convergence speed of the proposed method. The simulation results illustrate that the proposed method is superior to the existing methods in terms of estimation performance when designing the constrained waveform.

show abstract

Section: Introductionmentioning

confidence: 99%

Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar

Hao

Gong

2019

Entropy

View full text Add to dashboard Cite

show abstract

“…Figure 8 is standard deviation which shows that the standard deviation of interception time for three times is 11 s. Because the three interception is independent of each other, the short average interception time for three times in equation 22 With the change of the detection SNR threshold of the RWR. Table 4 shows the changed interception factor from equation (25) and changed average time of being intercepted Table 4, the ratio of the average time of being intercepted by three times to the interception factor is approximately linear to the detection SNR threshold of a RWR. However, if NARS could be located by a RWR once SNR is over a key threshold, the linear relationship in Table 4 would be not valid any more.…”

Section: Simulationsmentioning

confidence: 99%

“…A maximum signalto-interference-plus-noise ratio (SINR) based on frequency diverse property of the MIMO radar system was deduced by Xiang and Chen, which was designed to control the power of the MIMO radar system under a determined SINR [24]. Tang et al designed a new MIMO radar waveform which was used to improve the Rician targets' detection performance under a limited power [25].…”

Section: Introductionmentioning

confidence: 99%

Netted Radar Tracking with Multiple Simultaneous Transmissions against Combined PDS Interception

Wang

Zhou

2020

Journal of Sensors

View full text Add to dashboard Cite

One of the advantages of a netted airborne radar system (NARS) is escaping interception of the passive detection system (PDS) while tracking a target. A significant tactic to realize tracking without PDS interception is to study the low probability of interception (LPI) time of NARS. Firstly, this paper analyses the power, frequency, and platform interception probabilities of a combined PDS consisting of a radar-warning receiver (RWR) and an electronic support measurement (ESM). Secondly, this paper takes interactive multiple models (IMM) to describe the target tracking process and introduces a binary hypothesis test for chi square as well as noncentralized chi square distributions as a detection criterion of NARS during target tracking after the design of adaptive dwell time and the maximum illumination interval algorithm. Finally, based on experiential moving platform interception probabilities of a RWR and an ESM, a simplified math model is presented to estimate LPI time of NARS when the parameters are partially known. Simulations illustrate that the simultaneous management of radiation power and time is crucial for NARS against combined PDS interception.

show abstract

“…In this paper, a signal fusion‐based target detection algorithm is proposed for frequency diversity MIMO radar under the assumption that point‐like targets embedded in unstructured interference and subspace interference [23–30]. For a general case, it is assumed that the covariance matrices of unstructured Gaussian interference for different local radar sites are different, so as the number of the subspace interferences.…”

Section: Introductionmentioning

confidence: 99%

Signal fusion‐based targets detection in the presence of clutter and subspace interference for multiple‐input‐multiple‐output radar

Zhou

et al. 2019

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

Design of multiple‐input–multiple‐output radar waveforms for Rician target detection

Cited by 13 publications

References 31 publications

Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar

Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar

Netted Radar Tracking with Multiple Simultaneous Transmissions against Combined PDS Interception

Signal fusion‐based targets detection in the presence of clutter and subspace interference for multiple‐input‐multiple‐output radar

Contact Info

Product

Resources

About