Abstract
The feasibility of one-bit quantization in coast-ship bistatic high-frequency surface-wave radar (HFSWR) is mainly discussed in order to enjoy the advantages of simplicity, low cost and low power consumption. Our theoretical derivation shows that the received signal after one-bit quantization can be expressed as a linear combination of infinite components. These components include the original component and the high-order components that can be regarded as the interference terms. Then, the variation of the magnitude of each component with the signal-to-noise ratio (SNR) is given. To reduce the negative impact of these high-order components on the radar system, the detailed signal forms are analyzed. Furthermore, some comparative simulations of one-bit quantization and traditional high-precision quantization are provided to verify the correctness of our theoretical analysis. Both theories and simulation results indicate that the high-order components can be ignored in coast-ship bistatic HFSWR and that one-bit quantization is effective. Finally, real data analysis also validates the efficiency of one-bit quantization in practice.
Highlights
The coast-ship bistatic high-frequency surface-wave radar (HFSWR) has been capable of playing the irreplaceable role in monitoring the sea surface state and tracking targets with the virtues of low cost and the ability of operation in all weathers [1]
MEASURED DATA VALIDATION In order to verify the effect of one-bit quantization in practice, some measured data collected from a coast-ship bistatic HFSWR are analyzed
We introduce one-bit quantization into coast-ship bistatic HFSWR to gain many advantages of one-bit quantization, such as low cost and low power consumption
Summary
The coast-ship bistatic high-frequency surface-wave radar (HFSWR) has been capable of playing the irreplaceable role in monitoring the sea surface state and tracking targets with the virtues of low cost and the ability of operation in all weathers [1]. B. Liu et al.: Signal Processing of Coast-Ship Bistatic HFSWR Using One-Bit Quantized Measurement processing in SAR, pulse compression or convolution operation, was discussed in detail in spectrum analysis, computation burden, and data storage [12]. Classical subspace-based methods, such as multiple signal classification (MUSIC), have been verified to be straightforwardly applied without extra pre-processing [20] It is shown in [21] that sparse arrays (nested and coprime arrays) are more robust to the deleterious effects of one-bit quantization, compared to uniform linear arrays (ULAs). The main goal of this study will answer the question and the main contributions are summarized as follows: (1) The components of the received one-bit signal in coast-ship bistatic HFSWR are analyzed.
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