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In wireless network systems, time of arrival (TOA) scheme is always needed to implement the self-localization of the user manual. If multiple positions of interest exist, the Cramer-Rao lower bounds (CRLBs) of TOA localization in these positions are determined by the deployment of the base stations. The design of base station placement is addressed in this paper; and rather than the exhaustive method...
Source parameter estimation is an appealing research topic over decades in the field of array signal processing. The estimation performance of multidimensional parameter directly influences the effect of subsequent procedures, such as signal detection and filtering. In this paper we give a brief review of direction of arrival (DOA) and polarization parameter estimation methods. Based on a sensor array...
Graphene's exceptionally high Kerr nonlinearities can only be fully exploited by plasmonic structures, which grant up to eight orders of surface-induced nonlinear enhancement. This drives optical pump powers down to the pW levels, enabling low-powered modulation of graphene plasmons.
This paper focuses on elliptical localization for a multi-static passive radar, when an uncooperative transmitter is considered. We take two factors into account: the error in transmitter position and the range-dependent measurement noise. When no prior is provided on the error's bound or variance, it is found that most existing algorithms become invalid. Following this and based on the infinity-norm...
In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly...
Rank-reduction (RARE) methods for decoupled 2D direction-of-arrival (DOA) estimation are exposed to performance breakdown with a small number of elements in uniform circular arrays (UCAs) due to the residual component in the beamspace data. To overcome this shortcoming, a modified RARE algorithm for DOA estimation with UCAs is proposed in this paper. Based on the UCA-RARE for azimuth estimation and...
For the high frequency surface wave radar (HFSWR), the presence of ionospheric clutter seriously degrades its capability of receiving target echoes. Thus various ionospheric clutter mitigation methods are investigated based on space domain. However, the gains of antennas in vertical incidence can lead to channel amplitude inconsistency, which can degrade the performances of aforementioned space-domain-based...
Despite of the extreme success of the spectral graph theory, there are relatively few papers applying spectral analysis to hypergraphs. Chung first introduced Laplacians for regular hypergraphs and showed some useful applications. Other researchers treated hypergraphs as weighted graphs and then studied the Laplacians of the corresponding weighted graphs. In this paper, we aim to unify these very...
Since sensor networks deal with real world, real-time data delivery is often necessary for communication. The cluster-based data aggregation has emerged as a basic technique in sensor networks. However, there is a trade-off issue between aggregation waiting delay and aggregation accuracy. Therefore, we propose a Delay Sensitive Feedback Control (DSFC) model to solve the trade-off issue. More, we present...
Doppler frequencies generated by the navigating ship targets may coincide with the first order Doppler spectrum of the sea clutter in high frequency surface wave radar (HFSWR). Therefore, the ship targets fall in this clutter spectrum were usually undetectable by the traditional processing method in HFSWR. In this paper, we introduced a spatial blind filtering method based on oblique projection, which...
According to the situation that speech authentication algorithms are not appropriated for real-time speech content authentication, a novel speech perceptual hashing authentication algorithm based on discrete wavelet transform with combination of time-frequency domain features was proposed. Firstly, by discrete wavelet transform (DWT), a new signal in frequency domain is generated from the original...
Direction of arrival (DOA) is an important parameter to be measured in pulse compression radar (PCR) systems. It is more favorable for DOA estimation to be done after pulse compression, because the targets have been separated in range domain and usually have higher SNR. But after pulse compression, only a single snapshot is available in each range cell. As a result, conventional DOA estimation methods...
Traditional approaches for interference suppression will enjoy the added benefits when more domains are involved in antenna array. However, the information from range domain and its collaboration with other domains are rarely explored, and their potentials in improvement of radar performance are under-estimated. In this paper, we introduce the concept of polarization sensitive frequency diverse array...
The high resolution multiple signal classification (MUSIC) algorithm provides an efficient way to estimate direction- of-arrival (DOA). However, it performs poorly when weak signals are accompanied with strong ones. To solve this problem, an oblique projection filtering based DOA estimation algorithm is proposed without using a priori knowledge of the sources, such as directions, strength, modulation...
In the electronic communication, radar, navigation and sonar, it is very important to suppress the interference and extract the target effectively without any phase-amplitude shift. A number of signal processing optimal algorithms developed, we apply the smart antenna to adaptive filtering. But the performances of adaptive filtering differ from each other corresponding to different algorithms. The...
Fast Polarization MUSIC is an algorithm which can utilize the advantage of the signals polarization state to estimate their directions. Its capacity in resolving close signals is considerably enhanced, with acceptable computation complexity. In this paper, analysis of this algorithm's performance in estimation precision, resolution of close signals and computation complexity are presented. Relating...
Normal methods of spatial filtering methods may change the coherent characteristic of the target, which reduces the effect of accumulation in coherent systems despite the improvement of signal-to-interference and noise ratio (SINR). To avoid the amplitude and phase distortion introduced by the filters, null phase-shift spatial filter (NPSF) is proposed in this paper. NPSF can suppress the interference...
In wireless communication systems of consumer electronics, it is very important to suppress the interference and extract the target effectively without any phase-amplitude shift. A number of signal processing optimal algorithms developed, we apply the smart antenna to adaptive filtering. But the performances of adaptive filtering differ from each other corresponding to different algorithms. The linear...
Radio frequency interference (RFI) cancellation is a main problem to be solved in High Frequency Surface Wave Radar (HFSWR) system. To minimize the impact of RFI, a number of signal processing techniques, such as adaptive beamforming and polarization filtering, have been developed. However, the performance of these conventional methods degrades a lot when the target and interferences have similar...
Interference suppression is a main problem to be solved in both radar and wireless communication systems. To minimize the impact of interference, a number of signal processing techniques, such as adaptive beamforming and frequency filtering, have been developed. However, the performance of these conventional methods degrades a lot when the target and interferences have similar parameters. In this...
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