Robustness-gradable sparse array frequency and DOA estimation method and device

Abstract

The invention discloses a robustness-gradable sparse array frequency and DOA (Direction of Arrival) estimation method and device. The method includes the following steps: obtaining a parameter group of frequency, amplitude and phase after correction according to a relaxed co-prime sparse array and a Tsui spectrum corrector; constructing a first remainder array according to the corrected frequency,carrying out frequency reconstruction based on a robustness-oriented remainder system, and averaging the frequency to obtain the estimated value of frequency and the wavelength; constructing a mean vector according to the corrected phase information and amplitude information, obtaining the phase estimation of the signals on the array elements according to the relation between the phase and the mean vector, and obtaining two phase difference values through subtraction; and constructing a second remainder array according to the two phase difference values, carrying out DOA reconstruction basedon the robustness-oriented remainder system to obtain an intermediate parameter, and calculating the estimated value of DOA according to an estimation formula. The device includes a relaxed co-prime sparse array, an ADC sampler, a DSP and a display device. Frequency and DOA estimation is completed by using the relaxed co-prime sparse array.

Description

technical field [0001] The invention relates to the technical field of array signal analysis and processing, in particular to a robust and scalable sparse array frequency and DOA estimation method and device, which are applied to anti-noise robustness. Background technique [0002] The joint estimation of the frequency of the incident signal and the direction of arrival (DOA) is the radar [1] , wireless communication system [2] , electronic warfare and other critical issues in the field of passive target perception, however, the difficulty of the estimation gradually increases with the increase of the frequency of the incident signal. For example, the current radar operating frequency band is gradually transitioning from S-band, C-band to X-band and K-band, and its signal wavelength is gradually shortened from meter-level, decimeter-level, and centimeter-level accordingly. This leads to two outstanding problems: First, the Nyquist sampling theorem in the space domain requi...

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Problems solved by technology

This leads to two outstanding problems: First, the Nyquist sampling theorem in the space domain requires that the distance between antenna elements should not be less than half the signal wavelength, so for short wavelengths, the array elements have to be densely arranged, which will inevitably lead to Very serious inter-element coupling effect; second, the time-domain Nyquist sampling theorem requires that the sampling rate is not lower than twice the highest frequency of the signal, so as the working frequency band increases, the existing analog-to-digital converter ( analog to digital converter, ADC) cannot meet the requirements in terms of sampling rate and power consumption

The scheme mainly considers two basic issues: one is the arrangement and configuration of sparse array elements, and the other is the design of frequency and DOA parameter reconstruction algorithms

In terms of improving the first basic problem (that is, the arrangement and configuration of sparse array elements), it can be achieved by increasing the number of array elements and the number of snapshots collected by each array element. However, this means increasing the burden on the system cost, and often Engineering applications are not allowed

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