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Waveform optimization for radar/sonar systems has been recently developed, especially after cognitive radar is proposed. The waveform optimization is different as a result of different tasks of radar systems. Usually, an optimized waveform just only aims at one task in most research. In this paper, an novel algorithm is proposed to generate the transmitted signal for multi-task of radar systems. The...
The structure of block sparsity in multi-band signals is prevalent. Among the block-sparse signal problems for compressive sensing, the most presenting recovery algorithms require block sparsity as prior information, whereas it may not be available in many practical applications. In this paper, a block sparsity adaptive regularized orthogonal matching pursuit algorithm (BAROMP) for compressive sensing...
The constant modulus algorithm (CMA) has been known as blind adaptive beamforming because it requires no knowledge about the signal except that the transmitted signal waveform has a constant envelope. But in practical applications, the performance of the linearly constrained CMA is known to degrade severely in the presence of even slight signal steering vector mismatches. To account for the mismatches,...
The main disadvantage of orthogonal frequency division multiplexing (OFDM) systems is the high time-domain peak-to-average power ratio (PAPR) that limits transmitter power efficiency. Partial transmit sequence (PTS) technique can improve the PAPR statistics of an OFDM signal significantly. However the PTS technique requires an exhaustive search over all combinations of allowed phase factors, and the...
A novel robust least squares constant modulus algorithm (LSCMA) is proposed for blind adaptive beamforming, which is based on explicit modeling of uncertainty in the desired signal array. To improve robustness, the weight vector is optimized to involve minimization of cost function, while imposing the oblique projection constraint on the weight vector and maintaining a distortionless response for...
Orthogonal frequency division multiplexing (OFDM) system has the problem of high peak-to-average power ratio (PAPR) due to its multiple sub-carriers. In general, partial transmitted sequence (PTS) technique is applied to obtain optimal PAPR reduction performance, but its exhausted search for the optimal phase factors must be accomplished accordingly. As the number of sub-blocks and phase factors increase,...
In wireless communication environment, the time-varying channel and angular spread caused by multipath fading and the mobility of mobile degrade the performance of conventional direction of arrival (DOA) tracing algorithm. In this paper, we present a DOA tracking scheme for coherently distributed source based on support vector regression method. The mapping among the outputs of the array and the DOAs...
The conventional constrained least squares constant modulus algorithm (LSCMA) can suffer significant performance degradation in the presence of the slight mismatches between the actual and assumed signal steering vectors. In this paper, to combat the mismatches, a novel robust constrained LSCMA is proposed for implementing double constraints with Taylor-series expansion and Lagrange multipliers method,...
When adaptive arrays are applied to practical problems, the performances of the conventional adaptive beamforming algorithms are known to degrade substantially in the presence of even slight mismatches between the actual and presumed array responses to the desired signal. Similar types of degradation can occur when the signal array response is known exactly, but the training sample size is small....
Adaptive beamforming is known to have resolution and interference rejection capability when the array steering vector is precisely known. However, the performance of adaptive beamforming techniques may degrade severely in the presence of mismatches between the assumed array response and the true array response. In this paper, we propose a novel neural network approach to robust adaptive beamforming...
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